The web is getting more and more characterized by personalization. Big socialnetworks like Facebook as well as the leading search engine Google increasingly usepersonalization Algorithms to tailor the information that they present to users. All inorder to make the information more relevant and engaging for the end consumer. Howdoes this personalization affect journalists who increasingly search the web as a partof their journalistic research? In this essay we have looked at the effects thatpersonalization has on the journalists of tomorrow by conducting a survey amongstudents of journalism.

This report present a working model for simulation of what happens to colors displayed on screens when they are observed through optical filters. The results of the model can be used to visually, on one screen, simulate another screen with an applied optical filter. The model can also produce CIE color difference values for the simulated screen colors. The model is data driven and requires spectral measurements for at least the screen to be simulated and the physical filters that will be used. The model is divided into three separate modules or steps where each of the modules can be easily replaced by alternative implementations or solutions.

Sparse matrices are often used in numerical Algorithms that solve linear equation systems. Many methods for storing sparse matrices have been proposed and implemented during the years. These methods focus primarily on minimizing the total memory consumption and the time that it takes to store a sparse matrix. This report researches the available storage methods for sparse unstructured matrices. The formats that are researched and implemented are COO, CRS and ELL.

AbstractThis report is about the creation of a test system for development of a control system for a off the shelf RC-helicopter, which can be bought for about two thousand SEK. The test system consists of both electronics for controlling the helicopter and mechanical constrainer. The constrainer is used for mounting the helicopter so that it won´t crash.A circuit board including processor and sensors was manufactured. This was used for doing test of the different control Algorithms. In this way were we able to analyze the quality of the sensors chosen, and what other sensors that could contribute to the control of the system.Basic helicopter control have been studied and presented in the report.

This thesis has been written at Linköping University for the company Instrument Control Sweden AB (ICS).ICS is a small company located in Linköping that develops software and hardware for Unmanned Aerial Vehicles, UAV. At present, ICS has a fully functional autopilot called EasyPilot but they want to reduce the autopilot?s size to make it more attractive.The purpose of this thesis was to investigate if it was possible to reduce the size of the autopilot and how, in that case, it would be done. It was also necessary to examine whether the old processors should be replaced by new ones and how hard it would be to convert the old software to these new processors.To succeed with the goals many of the old components had to be changed for new, smaller ones. Some less necessary parts were also completely removed.

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.

Empirical research shows that a possible reason why Swedish students mathematical knowledge deteriorates can be a too big focus on imitative reasoning, i.e. recalling solutions or follow Algorithms, and a lack of creative mathematical reasoning, i.e. when a student construct his/her own solution and motivates its plausibility with mathematically well-founded arguments. The purpose of this study is therefore to examine if, and in what way, lecturers can provide students an opportunity to learn creative reasoning by simulating creativity in their presentations of examples. Six lectures were observed and 22 task situations were analyzed with respect to three aspects; reflection, plausibility and mathematical foundation, which are to be present in the situation if the reasoning will be seen as simulated creative.

The aim of this project was to develop a numerical model simulating the global transport of air pollution. The model currently used by SMHI, the Swedish Meteorological and Hydrological Institute, was intended to perform such simulations at regional scales. However, the usage of a grid based on longitudes and latitudes makes this model work poorly in global simulations. The problem with this grid is that the nodes are concentrated near the North and South Poles. Due to this characteristic, the Courant, Friedrich and Lewy-condition for numerical stability puts a sharp bound on the timestep length.

The purpose of this master thesis is to evaluate how internal vehicle information inScania buses and trucks can be used for evaluation of driver performance regardingfuel economy, vehicle wear, traffic safety, emissions and cargo damage. To someextent it was examined whether this information could be used for training the driverto a better driving style. In addition, a prototype for such a system was developed.By first defining what distinguishes a talented driver and how he/she differs from apoor driver, followed by a study of the internal vehicle communication, a system thatin real-time gathers and interprets vehicle data could be developed.The resulting system can with reasonably high reliability detect a number of trafficevents (such as braking, lane changing or hilltops). At each such event, the driver?sbehaviour can be evaluated.

This Master's Thesis describes the design of a new system where a digital signal processor has been added to an existing imaging system consisting of field programmable gate arrays. The new system will offer a higher degree of flexibility by considerably shortening the design time and make it possible to implement more complex Algorithms than the existing ones. The choice of system architecture and a test implementation are discussed. The test implementation consists of a program for the digital signal processor and VHDL code for one of the field programmable gate arrays. The code for the digital signal processor was designed for testing on an evaluation board from Texas Instruments.

Stratego is a boardgame not very different from chess, that contains hidden information. Because of this, existing programs play at beginner level. The purpose of this thesis is to adjust a minimax algorithm so that it passes the demands of Stratego, and then build a Stratego agent around it. Tests with existing minimax Algorithms leads to the development p-e-minimax. This algorithm uses two different values in its nodes to simulate the different information available to the agent and its opponent.

Detta arbete undersöker användningen av evolutionära algoritmer för framtagning och utvärdering av byggordningar i RTS-spel. Syftet var att undersöka om just evolutionära tekniker kan uppnå lika bra resultat som skriptade byggordningar då evolutionära tekniker oftast är billigare att utveckla.För att undersöka denna problemställning utvecklades en applikation med en experimentmiljö och en Artificiell Intelligens (AI) med evolutionär algoritm. Denna applikation och AI användes sedan för utvärdering av framtagna byggordningar.Resultatet antyder att evolutionära tekniker kan uppnå lika bra kvalitet som de skriptade byggordningarna.Något som krävs i detta arbete är fördefinierade skript för byggordningar för att köra evolutionen men något som skulle vara intressant att kolla på är coevolution. Med coevolution hade det varit möjligt evolvera fram byggordningar utan dessa färdiga skript genom att köra evolutionen mot individer i samma population..

Development and construction of an electronic Breakout box is the main work for this thesis. The box is a part of a test system for the component Fuel Flow Transmitter and should convert signals to be suitable for a frequency counter. A previously constructed Breakoutbox for this purpose is being old and needed to be recreated. So SAAB Aerotech, Aircraft services, the company for the thesis work wanted to construct a new, more sustainable Breakoutbox adapted to a more modern technology. The signals to the box comes from the transmitter and should be converted to suitable signals for a frequency counter so it can show pulse and time difference between the signals.

Just how far is it possible to make learning of new parts for recognition and robot picking autonomous? This thesis initially gives the prerequisites for the steps in learning and calibration that are to be automated. Among these tasks are to select a suitable part model from numerous candidates with the help of a new part segmenter, as well as computing the spatial extent of this part, facilitating robotic collision handling. Other tasks are to analyze the part model in order to highlight correct and suitable edge segments for increasing pattern matching certainty, and to choose appropriate acceptance levels for pattern matching. Furthermore, tasks deal with simplifying camera calibration by analyzing the calibration pattern, as well as compensating for differences in perspective at great depth variations, by calculating the centre of perspective of the image.

n this dissertation a comparison of two evolutionary methods for evolving ANNs for robot control is made. The methods compared are SANE with enforced sub-population and delta-coding, and marker-based encoding. In an attempt to speed up evolution, marker-based encoding is extended with delta-coding. The task selected for comparison is the hunter-prey task. This task requires the robot controller to posess some form of memory as the prey can move out of sensor range.