This thesis examines different interfaces to suggest a concept of a split screen architecture for a company who develops and manufactures computers with integrated displays for industrial machines and vehicles. Splitting the display from the computer requires a high speed cable link between the display and the computer. This cable link must reach the mechanical and electromagnetic requirements of the intended environment the computers will operate in. Interfaces were found that can send the required video and control data over the same twisted pair or coaxial cables up to 15 m using serializers and deserializers. To send data in high speed puts tough electromagnetic requirements on the cable link as to not interfere or be interfered by nearby electrical systems. Electromagnetic properties of different cable solutions were compared to find a suitable cable that is not too expensive for the intended cable lengths. The study shows that there are interfaces available which can send several data types in a single cable so that a touch display can be positioned several meters away from the computer in demanding environments without losing the functionality it had when integrated in the computer.

The advancement in computer vision field with the help of deep learning methods is significant. The increase in computational resources, have lead researchers developing solutions that could help them in achieving high accuracy in image segmentation tasks. We performed segmentation of different types of objects in the chromatography instruments used in GE Healthcare, Uppsala. In this thesis project, we investigated methods in Computer vision and deep learning to segment out the different type of objects in instrument image. For a machine to automatically learn the features directly from instrument image, a deep convolutional neural network was implemented based on a recently developed existing architecture. The dataset was collected and preprocessed before using it with the neural network model. The model was trained with two different architecture Unet and Segnet developed for image segmentation. Both the used architecture is efficient and suitable for semantic segmentation tasks. Among different components to segment out in the instrument, there was a thin pipe. Unet was able to achieve good results while segmenting thin pipes with fewer data as well. Results show that Unet can act as a suitable architecture for segmenting different objects in an instrument even if we have only 100 images. Further advances can be done to improve the performance of the model by generating a better mask of the model and finding a way to collect more data for training the model.

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With the emergence of various big data platforms in recent years, Apache Spark - a distributed large-scale computing platform, is perceived as a potential substitute for Message Passing Interface (MPI) in High Performance Computing (HPC). Due to the limitations in fault-tolerance, dynamic resource handling and ease of use, MPI, as a dominant method to achieve parallel computing in HPC, is often associated with higher development time and costs in enterprises such as Scania IT. This thesis project aims to examine Apache Spark as an alternative to MPI on HPC clusters and compare their performance in various aspects. The test results are obtained by running a compute- intensive application on both platforms to solve a Bayesian inference problem of a extended Lotka-Volterra model using particle Markov chain Monte Carlo methods. As is confirmed by the tests, Spark is demonstrated to be superior in fault tolerance, dynamic resource handling and ease of use, whilst having its shortcomings in performance and resource consumption compared with MPI. Overall, Spark proves to be a promising alternative of MPI on HPC clusters. As a result, Scania IT continues to explore Spark on HPC clusters for use in different departments.

Responsive graphical user interfaces, which can adapt to changes in display size, improve the user experience and are easier to developand maintain compared to ones relying on absolute (pixel) placement. Based on a survey of several responsive frameworks across desktop, mobile and web platforms, we design and develop a backwards- compatible responsive extension of an existing non-responsive Lua GUI framework. We also provide the specification that describes the features selected to be part of the new responsive framework, as well as some implementation details pertaining to those features.

Electricity can be considered as the backbone of the modern society. It has become anessential component of the day to day life of all human beings in the world. As a result, thedemand of electricity is growing at a higher rate each year. To fulfill this demand a largenumber of fossil fuels are being consumed all around the world.Sri Lanka, as a developing country in the Asian region, is currently facing this issueof having difficulties in meeting the electricity demand of the country’s population. As acountry having a lower economic growth rate, it is an essential choice to reduce the usage offossil fuel, since it is not only reducing the wastage of money for exportations of fossil fuelfrom other countries but also helps to reduce the harmful gas emissions. Compared to theEuropean countries, the involvement of Sri Lanka in utilizing renewable energy resources forpower generation is observed to be very less. Hence this project aims on analyzing andproviding an overview of the possibility in fulfilling the country’s energy demand bycompletely renewable resources.Three renewable energy components have been taken in to account for this study. Thepower output from solar, wind and hydropower resources have been considered and theanalysis has been carried out with MATLAB software. It is an obvious fact that the electricitydemand varies within the day due to the different lifestyles of people. Hence hourly demandis the most important fact to be considered during a demand-supply analysis. With the dataobtained from Ceylon electricity board, Ministry of power and Renewable Energy, theanalysis has been done for all three resources assuming the wind and solar power plants arebeing constructed at the perfect locations after a careful study of the wind maps and solarirradiation data throughout a year.The Analysis has been carried out with solar power alone and then with wind powerand then with the combined solar and wind power. The results have shown that it is notpossible to fulfill the hourly demand solely from solar and wind power since the solarradiation and the wind flow is not constant throughout the day in each location. Hence forcertain hours the power production is excess and for certain hours power production is lessthan the load requirement. Then Hydro power has been fitted in to place to compensate theshortage in the load. Calculations have been carried out considering only the current hydropower plants which are on operation.Regarding Hydro power plants, the analysis was mainly based on the assumption thatpumps are being used to handle the excess electricity produced by solar and wind plants.Hence the final outcome has been considered based on two main facts which are the currentavailable storage span of all hydro plants as a whole and the required pump power and thehydro turbine power to handle the excess power production from solar and wind.The results have shown that it is possible to meet the total hourly energy demand ofthe whole population of the country by completely renewable resources under certainconditions. The combination and sometimes correlation of solar and wind during the day hasthe capacity to meet the different hourly demands within the day for certain days. However tomeet the hourly demand, hydro power has to be included to balance the shortage. Consideringthe two facts mentioned earlier it has been proven that the current storage span and pumppower is sufficient to balance the excess electricity produced from certain value of installedPV power and certain number of turbines in a wind plant, however for certain value ofinstalled PV power and certain number of turbines ,the pump power requirement and storagelevel to handle the excess power is slightly more than the current power production fromhydro. Hence it is possible to meet the hourly load if more hydro power plants could beconstructed for those cases.Since this is a positive and bright outcome, the next step required is the attention ofthe authorities to execute the construction and implementation of projects related to solar,wind and Hydro plants and thereby opening a new era in the technology and the economy ofSri Lanka.

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