The background to this report is based on how architectural art through timesbeen treating daylight with greatest precision to take advantage of its good quality,and how the technical revolution with artificial lighting affects our way of workingwith daylighting today.The purpose of the study is to contribute to the knowledge how the daylightopening affects the perception of a room. The aim is to clarify how proportionsand placement affects how the incident light occurs in the room and how thataffects on how the room is perceived. The study is meant to be used by lightingplanners, and in terms of pleasantness, be able to create the best possible daylightenvironment..

AbstractThis study deals with NTA in preschool and the purpose of the study is to find out how the NTA project works out in practice. In the empirical study I have used questionnaires as a research method (Trost2001). Questionnaires have been sent to preschool teachers in the whole of Sweden to get as good a selection as possible. The responses received have been processed and analyzed. The results are reported below.The majority of the teachers thought it worked well to work with the NTA.

Communication is an important part of any multi-agent system. There are different ways of communicating and they have different effects on a multi-agent system. This project describes and evaluates two different ways of communication, implicit and explicit. To compare the two methods, two experiments have been executed. The result of the experiments have been compared and discussed.

Uganda is one country with fastest growing populations in the world and with more than 25% of the population living in poverty. There is a rapid rural urban migration with increasing demands for food for low income earners especially in these areas. One way to mitigate food insecurity is to increase milk and meat production efficiency, and thus reproductive performance of cows is crucial for good production. A well-documented strategy for improving dairy cow productivity through faster genetic improvement is to breed dairy cows using proven semen via artificial insemination (AI). AI has been used in Uganda for over 60 years but only less than 10 %, a small population of the country?s herd has been bred that way. The aims were to study knowledge, attitude and practices factors influencing cow fertility results on dairy farms around Kampala using AI and to propose ways of promoting increased use of AI in Uganda.

In the profession of architects there is an element called architectural competitions, where several architects compete in submitting the best solution for a certain task. In this master?s thesis I am studying the competitor?s perspective of an international architectural competition, while at the same time gaining experiences for my future career as a landscape architect. The aim of this thesis is to through an introspection of my own process examine a competitors view of the international architectural competition and how to approach the difficulties concerning international competitions. Through that I hope obtain experience about the international competition as part of the profession of landscape architects and other involved professions. To examine a competitor?s reflection of an international competition, I entered and competed in LE:NOTRE Student Competition, a competition for students where the task was to develop 25 kilometers of complex urban periphery along a chain of natural and artificial lakes in Bucharest, Romania.

Emotron is a company specialised in developing, producing and marketing equipment to con-trol, monitor and protect processes and machinery driven by electric motors, with an applica-tion focus. Examples of uses for their products are fans, pumps, lifts and cranes.The project is to look at Emotrons end of line test. The company has seen that at the final test-ing there is a bottleneck that restricts the outflow and prevents an increase in the number of tested products.The purpose of this project is to review how Emotrons end-of-line test works today and if there is a possibility to make the test more efficient in such a way that the quality is not at risk, while increasing the outflow of tested products.The projects first step is to look at and analyse what is causing the bottleneck at the end-of-line. When the analysis is complete, the next step is to review whether there is a possibility to solve the bottleneck and if so in what way can this be done. Emotrons most overall objective of the project is to increase the outflow of the number of tested products without jeopardizing the quality.An analysis has been made on frequency inverters, soft starters and shaft power monitors.

AI är något som blir allt viktigare inom dagens spel och får allt högre krav på att agera mänskligt och intelligent. Detta kandidatarbete undersöker vilken metod som är att föredra för att skapa en AI som kan lära sig av sina tidigare erfarenheter. Några av de metoder som undersöks är trädstrukturer, Artificial Neural Network och GoCap. Genom att skapa en applikation med en av metoderna samt göra en undersökning på hur AI:n i applikationen upplevdes fick vi resultat om denna metod var användbar. Utifrån detta diskuteras det ifall andra metoder hade varit mer effektiva, hur man hade kunnat förbättra AI:n samt hur framtiden för spel-AI skulle kunna se ut..

Health and fitness are two controversial and not easily defined topics that affect people in our modern society every day. We believe that we can find a link between individualism, globalization and the stress concerning weight and appearance ideals. Our bodies have turned into a popular subject for the media, and there is no indication that the interest will decline. As the world gets more artificial, "natural" ideals are getting more attention, such as the concept of a strong and healthy body. But there is also a downside, for example with health issues such as cardiovascular disease increasing following the birth of high-fat diets.

Vid analys av fluider med akustisk spektroskopi finns ett behov av att finna multivariata metoder för att utifrån akustiska spektra prediktera storheter såsom viskositet och densitet. Användning av artificiella neurala nätverk och bayesiska nätverk för detta syfte utreds genom teoretiska och praktiska undersökningar. Förbehandling och uppdelning av data samt en handfull linjära och olinjära multivariata analysmetoder beskrivs och implementeras. Prediktionsfelen för de olika metoderna jämförs och PLS (Partial Least Squares) framstår som den starkaste kandidaten för att prediktera de sökta storheterna..

Virtual Communities is an increasingly common phenomenon on the Internet. Most of the Virtual Communities are operated and maintained on a non-profit basis with a direction towards entertainment. However, as more state administrated and commercial services become web-based, we believe that the number of Virtual Communities with a community-based or commercial direction will increase in a near future. In this thesis, we describe our participation in, and studies of, a number of Virtual Communities with focus on the IRC-channel ?3dfxsweden?. On the basis of our experiences, we describe the social elements that form the foundation on which the Virtual Community rely on.

In this Bachelor thesis I explore sound and room as elements in design of user interfaces, both theoretical and practical in a specific application domain, to identify some of the advantages and disadvantage associated with these elements. As application domain I studied email clients and their usage at home amongst students at Blekinge Institute of Technology. In the study I found an activity, which seems to be highly distributed in the physical room where the user is located. The activity was notification of email and could take place in an arbitrary location of the home. I then augmented this activity with ideas from my theoretical assumption about room and sound. The result was a rule-based agent for notification of email, which primarily uses sound as interaction style..

Artificiella neurala nätverk (ANN) har många användningsområden inom datavetenskap. Några av dessa är mönsterigenkänning, robotik, processkontroll, optimering och spel. Detta examensarbete kommer att handla om hur en alternativ lösning på den traditionella arkitekturen av hur ett neuralnät kan se ut. Jag kommer att undersöka om man kan ta ett stort och komplext neuralnät och bryta ned detta till mindre neuralnät utan att förlora kvaliteten på botarna i en spelmiljö kallad Open Nero. Detta för att försöka minska beräkningshastigheten av neuralnäten och förhoppningsvis även göra så botarna lär sig ett bra beteende snabbare. Mitt examensarbete kommer att visa att min lösning av arkitekturen för ett neuralt nätverk inte fungerar speciellt bra då botarna inte lärde sig tillräckligt fort.

Denna rapport jämför prestandan mellan state-of-the-art AI-botar i racing spelet TORCS och en AI-bot som kör med hjälp av ett artificiellt neuralt nätverk (ANN-bot). ANN-boten, som implementerades som en del av arbetet, använder en feedforward arkitektur och backpropagation för inlärning. Ett separat program som användes för att träna det neurala nätverket med träningdata som spelats in från TORCS implementerades också. Som state-of-the-art AI-botar användes AI-botar som har använts i en tävling. De fyra AI-botarna testades på åtta olika banor och data om hur lång tid varje varv tog och hur snabbt AI-botarna körde sparades och sammanställdes.

"Infiltration of Waldheim" är ett spel gjort av David Lindell (grafik), Andreas Persson (programmering) och Mathias Jönsson (ljud och musik). Målet vi hade med projektet var att ha en spelbar bana med minst en vapen typ samt fiender att eliminera, allt ackompanjerat med pampig musik och en massa ljudeffekter. Jag kommer i denna rapport beskriva arbetets gång samt reflektera över vad som har fungerat och vad som varit mindre bra under projektets gång. Mina planer för spelet var mest att lära mig mera om framförallt AI samt arbeta mera i 3d. Spelet ska mest vara för mig själv, men med lite putsning och mera innehåll eventuellt användas vid jobb ansökningar i framtiden..

Modern air battles are very dynamic and fast, and put extreme pressure on pilots. In some unpredictable situations, like new discovered threats or mission plan deviation because of enemy aircraft, the pilots might need to replan their predefined flight route. This is very difficult, if not impossible, to do since numerous factors affect it. A system that can help the pilots to do such a thing is needed. Previous work in this field has involved methods from artificial intelligence like A*-search.