This master thesis studies how much the cycle time, i.e. the time it takes for an industrial robot to perform a given task, can be reduced if an extra degree of freedom (DOF) is added to the robot system. The extra DOF consists of a linear track, which is supposed to be used in an optimal way. The problem has been studied using simulations in the robot simulation tool RobotStudio. To be able to run an optimization in Matlab, with the RobotStudio simulation cycle time as the object function, communication between Matlab and RobotStudio has been set up with an interface written in Visual Basic.

The purpose of this thesis was to help the company Medius AB with optimization of selected parts in an existing system to minimize the execution time by implementing multithreading. The idea was to manipulate the code so that calculations could be executed at the same time. The main work in this thesis consisted of three optimizations. The first one was to reconstruct a big ?for-loop? so it would execute every loop's work in an own thread. The second optimization also was a reconstruct of a ?for-loop? so it could execute the work in different threads. The third and last optimization consisted of reconstructing a stored procedure on the database, so different parts of it each could be executed in an own thread to create data at the same time. To implement the optimizations Visual Basic .NET and its support for multithreading and connection-pools was used. The result of the optimizations meant that one of the modules could be executed more efficiently and it was 12 % faster. The other modules execution time was more efficient by 25 % faster. The meanings and requirements for this thesis are fulfilled by now letting the system make use of its resources in a better way..

This paper investigates the possibilities to construct automatized portfolios based on optimizations strategies that could outperform comparable indexes. The study is based on time-series of Swedish stocks dating from 1986 to 2006. In the research four different portfolio optimization techniques were studied. These were: the Classical Markowitz Approach, Mean-Absolute-Deviation, Minimum-Regret and Conditional Value-at-Risk of which the three latter are based on generated scenarios. The behaviour of these models was studied for different choices of parameters such as backward time-horizon and targeted average return.

The work describes the development of an adjustment algorithm that will replace today?s manual adjustment of Lead- and Lag-filters at ABB Robotics industrial robots. The adjustment is mainly for the filter parameters in the control system.Three different algorithms have been created to replace the manual adjustment. One of them is based on the criterion from the manual adjustment and another one on optimization of the sensitivity function. The last one is a combination of the two.The report describe the development of the algorithms and how they behave during simulations and tests on real robots.

Ever since it was first introduced in an article in the Journal of Finance 1952, Harry Markowitz? mean - variance model for portfolio selection has become one of the best known models in finance. The model was one of the first in the world to deal with portfolio optimization mathematically and have directly or indirectly inspired the rest of the world to develop new portfolio optimization methods. Although the model is one of the greatest contributions to modern portfolio theory, critics claim that it may have practical difficulties. Partly because the Markowitz model is based on various assumptions which do not necessarily coincide with the reality.

These studies are done in behalf of Saab AB AVITRONICS in Järfälla in the form of a thesis atthe Royal Institute of Technology in Stockholm.The task was to examine the parameters that plays a role in the construction of modern radomesoperating in broadband applications.This was interesting for Saab to get an indication of which way they should go at the newdevelopment of radomes for the next generation of equipment for electronic warfare.After a thorough analysis of the influencing parameters, a optimization application was made toget a automated way to get a radome design by specifying data on the radome size, airloads,materials, etc.This is to minimise the time of the laborious work that radome development.inply.This was solved by letting ANSYS calculate the strength of the radome structure and MATLABcalculate electromagnetic data and cost models of different sizes and materials.All these parameters woven together with the optimization tool modeFrontier picks data from therespective program and perform an optimization algorithm and then iterate a step and sends thisdata to calculation programs for the new input data. In the end, we have received a convergedpoint with our optimal solution.For the presumptions and limitations for which applied for this thesis, the result was prettyintuitive. That is to say that the smaller radome - the less materal is needed and lowermanufacturing costs results in the cheapest solution possible. The reality is not so simple. Whereyou have to take more of the electrical details such as the effect on the transmitter as a majorfactor..

In this report focus is put on the combustion process at a cement plant. Combustion is the heart of the cement making process and absolutely crucial to have under full control and well optimized. The fuel is put into the process through a burner pipe and this burner pipe is modified to reach a more efficient combustion. The primary target is to enable burning of heterogeneous alternative fuels and increase the production level. Other positive effects from this type of optimization is lowered specific fuel consumption and lowered CO2 emissions. A redundant burner is chosen for the project and overall the project steps are the following: 1. Installing a Jet air nozzle ring in a way so it can move both axially and radially due to temperature changes. 2.

The objective of this thesis was to develop a method for the planning of road upgrading at Holmen Skog, a Swedish forest company. A critical issue for creating such plans is to identify roads that are suitable to upgrade to a standard that can handle heavy traffic during spring thaw, since spring thaw is a bottle neck for transporting timber. The method was tested in a case study at a district. The work consisted of two parts. The first was to retrieve and prepare geographical data for the roads.

Norrborns Industri AB in Bollnäs manufactures truck trailers with the brand Parator. One of their trailers is Parator LX 10-20. The trailer is designed to transport hooklift containers with the option to tip loose goods such as gravel, asphalt and seed. The container is mounted on a frame which is placed on the chassis. To reduce weight a redesign of the trailer is needed.

The ability to detect protein-based biomarkers, which are linked to different diseases like colorectal cancer, is very important as a diagnostic tool. Usually complex biological samples like blood are studied which will contribute to different technical issues when performing an assay. The aim with the project is to optimize and develop the high throughput protein detection technique Proximity Extension Assay, PEA, into a 96-plex panel, in hopes of discovering an expression profile for colorectal cancer. PEA was developed by Olink Bioscience and allows specific proteins in a sample to be quantitatively transformed into nucleic acid sequences that are subsequently detected and quantified with real-time PCR. Two proximity probes containing oligonucleotide sequences bind pairwise to target protein and when brought in proximity, a DNA polymerase will extend a hybridization arm from one probe over to the second forming a double-stranded DNA sequence that can serve as a template in real-time PCR.

Företaget Rebtel ville ha en ny landningssida som riktade sig till internationella studenter. Denna sida skulle vara optimerad för målgruppen både gällande design och innehåll. En förundersökningen bestående av bland annat intervjuer med målgruppen, målgruppsanalyser och research gjordes därför. Förundersökningen bestod också av intervjuer med olika roller på företaget Rebtel för att få en inblick i olika arbetsrollers perspektiv och uppgifter under en sådan process. Med hjälp av förundersökningens fynd togs skisser fram och en landningssida utvecklades bland annat genom programmeringsspråken HTML5, CSS3, LESS, JavaScript, .NET och C#.

This master thesis covers the seasonal planning of a small scale hydropower system. The system in this study is owned and operated by Mälarenergi Vattenkraft AB. The total system consists of 4 different main rivers with 24 hydropower stations and several dams. The total installed power in the system is 43.75 MW. Most of the hydropower stations are regarded as small scale hydropower stations and thus entitled to green certificates.In this report the issue of planning is formulated as an optimization problem.

Cyanobacteria belong to the oldest organisms of our planet. They use photosynthesis to produce ATP and gain biomass from carbon dioxide. The cyanobacteria Nostoc punctiforme is a filamentous bacterium that consists of two different types of cells, vegetative cells and heterocysts. The type of cell it differentiates into depends on the media they grow in. In an ammonium-rich medium, the N.punctiforme consists of vegetative cells that differentiate into heterocysts when in the medium is changed to a low-concentration ammonium medium.

In Sweden there is a large interest in renewable energy but the market for solar power is still small compared to other countries such as Germany. Here many farmers produce their own electricity. The Federation of Swedish farmers have acknowledged the potential for Swedish farmer to produce electricity and there is an interest among the farmers. The agricultural branches in Sweden most suitable for solar power are pig production and poultry due to the even electricity need throughout a year. Swedish pig farmers are going through a period of unsteady profitability which makes it interesting to see whether producing their own electricity can affect the economic situation.

A well known optimization-problem of multiprocessor system is scheduling of tasks. In this paper I use a variant of previous known algoritm, (Fast Critical Path) for scheduling real-time tasks on a multiprocessor system. This is made in a simulation study in MATLAB. The system architecture is assumed to be a MIMD- machine, (Multiple Instruction stream Multiple Data stream) with bus-typologi and message-architecture. Scheduling was made on this system where the number of processors varying from five to ten.