Prosthetic leg can give a negative psychological effect to the user, which ends up in decreased self-esteem and that the user hides his handicap. xCover gives a more natural volume and a cool look. xCover changes the look of the prosthetic leg C-leg. The product is constructed by us, Patrik Svensson and Magnus Zetterqvist, for Christoffer Lindhe at Lindhextend AB. Christoffer has hired Martin Bergman at Smedjan 17 to make the design.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

SNA Europe?s handsaw concept is called ?Bahco Handsaw System? and is constituted by a saw handle with the possibility to switch between different saw blades. The sales of ?Bahco Handsaw System? products have not achieved the desired results probably due to the high price. Developing a more cost efficient handle, enabling a lower consumer price of the product, is assumed to increase the sales volume.

In several cases, systems that have been developed have been very time consuming and cost a lot of money, but they still do not fulfil the users requirements and requests. To make new systems better, you have to find a way to communicate that allows the developers to understand the needs of the user. The aim for our thesis is to highlight the importance of communication in system development. To investigate this we have choosen to do a study of the real-estate system. The work methods that have been used include mock-ups and informal conversations with the user, who is employed by the Church of Sweden in Ronneby.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

Test Driven Development (TDD) är en utvecklingsteknik där testning ses som ennaturlig del i utvecklingsprocessen och där tillvägagångssättet hjälper utvecklaren attsektionera upp programkoden till mindre och mer hanterbara delar. På så sätt gerTDD utvecklare ett stöd under programmeringsfasen så att de får fram ren ochflexibel kod som är enkel att ändra och felsöka. TDD som teknik underlättar ävenmöjligheterna att utveckla koden inom den tidsram som finns i och med attbetungande testfaser, som i traditionella metodiker och tekniker kan blitidsavgörande, istället integreras som en naturlig del i utvecklingsprocessen. Syftetmed denna uppsats är att belysa de fördelar som finns med att använda TDD vidutveckling av nya applikationer. Vi ska ge utvecklarna som är involverade iprogrammeringsfasen argument till varför TDD bör tillämpas vid utveckling avapplikationer och hur TDD kan vara ett hjälpmedel för att uppnå en bättrekodstruktur/design för applikationen.

The Internet offers an abundance of information. This information is easy to access in technical terms, however it is difficult to find. At present there is a wide variety of search services to choose from. This master's thesis is about selecting the appropriate search service for a certain question. Are different types of services suitable for different types of questions, and if so, which services for which questions?To answer this, I have undertaken one theoretical and one empirical study.

ABSTRACT System development has become more and more concentrated on development for the Web and this has resulted in larger target groups. It will most surely continue to be so considering that the Web will be the infrastructure of business and services in the future. A big target group involves that the owner of a system can earn a lot of money from the paying users, but that assumes that the system can meet user needs. If a system on the Web does not satisfy the user?s demands then they will use the competitor?s system instead because it is only a mouse-click away.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The work was carried out on Termisk Systemteknisk?s office in Linköping. The aim was to create a computer system with infrared camera technology for quality control and temperature monitoring of manufacturing processes in industry. The system should be configurable such that it can be used on several different issues, including those where the real-time analysis of camera images is required.The developed system is based on an existing framework, Panola, to deal with measurement results and images in a database. The framework is built for the system continually check for new data , and the task was to create a foundation upon which to build systems that use the framework, but fully or partially utilize direct calls .

HMS Networks AB develops, produces and sells communication technology for industrial automation. The product handles communication between a variety of protocols. The product treated in this project is an Anybus X-gateway Modbus-TCP Master/Client and this module is currently configured from a web-based interface. In doing so, the flexibility for handling protocols is limited to what the company chooses to add to the interface. Therefore the company had a request that the flexibility should be extended using a script language.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.