Test har utförts för att jämföra två huvudburna displayer (HMD), Penny Interactive Glasses och Sony Glastron, med traditionella displaymetoder för att presentera information i stridsfordon. Testen innehöll ett antal scenarion kring två olika aktiviteter. Testen har utförts i en simulerad miljö bestående av ett antal datorer, en mock-up av ett fordon och en projektor. Testresultat har utvärderas med Nasa TLX, vilket är ett program för uppskattning av arbetsbörda. Enkla test utfördes för att se hur ljusnivån påverkade användandet av HMD utomhus och om enkla filterlösningar var tillräckliga för att lösa problemen. Fokus i testen låg på en HMD från Penny som hade några intressanta hands-free lösningar för att styra applikationer. En bedömning gjordes av hur väl dessa lösningar fungerade och vad, om något, som behövde förbättras för att detta skulle vara praktiskt användbart. Förutom att göra en bedömning av om HMD:er är en lösning som faktiskt underlättar arbetet i ett stridsfordon har vi också försökt komma fram till några förslag på hur de skulle kunna förbättras inom områden så som passform och användarvänlighet. Vi kom fram till att HMD-lösningar potentiellt kan fungera bättre än nuvarande lösningar om de används på rätt sätt.

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.

Purpose: To evaluate how a treatment period on four weeks in a warm climate influences physical function, condition and the patient's experience of the climate effect of patients with ankylosing spondylitis. Method: 10 persons with a diagnosis of ankylosing spondylitis went through four weeks of treatment on Centro Forestal Sueco, Marbella. The treatment consisted of both physical and theoretic lessons given of a rehabilitation team. All patients were examinated measured for physical function and condition before treatment, after two weeks and at the end of the treatment. To measure physical function, Timed-Stands Test, Timed Get Up and Go, The Bath Ankylosing Spondylitis Metrology Index, Index of muscle function and functionestimitation of shoulder/arm were used.

Syfte: Studiens syfte var att undersöka om BKC-tavlans ackommodativa stimulus ändras av att tillsätta optotyper av olika form, storlek och placering till den klassiska BKCtavlan.Metod: Fem olika tavlor tillverkades och jämfördes dels subjektivt med ett högneutralt BKC-test och dels objektivt med en vågfrontssensor av märket Complete Ophtalmic Analysis System (COAS HD VR?). En av tavlorna var den traditionella BKC-tavlan, de andra hade optotyper med varierande storlek, form och placering. Mätningarna utfördes på 40 cm. Mätningarna gjordes på 30 personer mellan 18 och 40 år.Resultat: De fem tavlorna visade ingen statistiskt signifikant skillnad i ackommodativ respons, vare sig med BKC eller COAS?.

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.

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.

Syfte: Uppsatsens syfte är att undersöka huruvida det går att skapa överavkastning påden svenska aktiemarknaden genom att använda sig av strategin 52?week highmomentum. Uppsatsen syftar även till att undersöka huruvida eventuell överavkastningkan härledas till bolagsstorlek. Metod: Aktierna i dataurvalet rangordnas i förhållande till sina årshögsta. Portföljenkonstrueras genom att gå lång i de 30 % av aktierna som ligger närmast sitt årshögstaoch gå kort i de 30 % av aktierna som ligger längst ifrån sitt årshögsta.

Idrottsskador har konstaterats vara både fysiskt och psykiskt fenomen, och under de senaste åren har ett ökat intresse för den psykologiska faktorn visat sig. Syftet med studien var att undersöka om det finns något samband mellan upplevd stress och frekvensen idrottsskador hos elithandbollsspelare samt att undersöka om det finns något samband mellan grundanspänning (trait anxiety) och situationsspecifik anspänning (state anxiety). Ett tredje syfte är att undersöka huruvida en idrottares stressnivå varierar över tid och jämföra detta med de aktuella spelarnas skadefrekvens. Informanterna var 20 manliga elithandbollsspelare (19-32 år) i elitserien i Sverige, under säsongen 06/07, fördelat på två klubbar. Urvalet som gjordes var ett strategiskt urval, baserat på klubbarnas geografiska lokalisering.