Modern milk production have come a long way when it comes to accommodating the nutritional and physiological needs of the animals, but unfortunately the behavioural and psychological needs of cows and heifers are often left unfulfilled. A long time for eating is beneficial for the digestion and also gives the cattle something to do and decreases the risks for developing abnormal behaviours. An important factor that influences eating- and ruminating time is the particle size of the roughage. The aim of the study was to find out if particle size influences the behaviour of dairy heifers, in particular with regard to eating behaviour and abnormal behaviours. The study was conducted at Uddetorp farm high school in Skara. Forty-two heifers of the breeds SR and SF were housed in 8 slatted floor pens.

Research concerning movement patterns of wild animals has been advancing since GPS technology arrived. But studying the snow leopard (Panthera uncia) is still difficult because of the harsh territory it inhabits in Central Asia. This study took place in south Gobi, Mongolia, and aimed to estimate the time spent at kills and the maximum distance away from kills between visits. Snow leopards were monitored with GPS collars that took a location every five or seven hours. Potential kill sites were established by identifying clusters of GPS-locations in ArcGIS and visited in the field for confirmation.

When a company in the manufactory industry makes costly investments, it's important that these are used as much as possible. The company in this case claims that their invested robot cell, with CNC machine isn't used enough. The questions here are: How can we improve the use of the robot cell? Which products are appropriate for the production in the robot cell? As a method to come to a conclusion, an analysis has been made over the manufactured products. And also interviews with machine operators and the production management.

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.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

The purpose of this essay is to examine one of Sweden's oldest motorways in cityenvironment. The researched section is motorway E20 east of Gothenburg. Olskroksmotetin the west and Jonsered junction in the east, a distance of about 11 km. The mainquestion was, can maintenance of areas and objects related to the motorway give greatermeaning to a system that currently lacks historical connection?The survey was partly an archival study and partly a physical examination of themotorway and its appearance today.The road through Säveedalen from Gothenburg has a long history that begins with theriver and its valley as transport routes.

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.

It?s not for nothing the time we live in is often referred to as the age of information. Children and young adults who grow up I today?s society have greater access to facts and opinions than any earlier generations. This also applies to popular culture that during the last couple of decades have taken new expressions that no one could have ever dreamed of and more time goes to the consumption of it via visits to the cinema, television and computers.

The aim of this project has been to raise the production efficiency of Daliff Precision Engineering through reduced transportation time and a more standardized manufacturing process. The problem has upraised because of a big and diversified product flora without any standard products and with just small batches ordered. The report also tries to show the work procedure with general analytical methods and be an example of how a similar problem can be resolved. The transportation time is being proposed to be reduced through a change in the layout of the factory. By moving a few manual machines, dispatch and burring to more efficient locations, the total transportation time will be reduced by 55 %.

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.

Microwave is a time- efficient device for heating and reheating of foods. Despite the fact that its effects on foods have been evaluated during a long period of time, without any more negative effects shown compared to conventional cooking, one third of the Swedish population believes (in 2010) it accounts for a higher loss of nutrition. This literature review aim to compile studies regarding how food is affected by cooking in microwave, with respect to cooking losses, nutrition, secondary metabolites as well as sensory and textural aspects and compare it with conventional cooking. The compilation shows that different combination of effect (W), time and amount of water during microwave cooking have different effects on foods. The contents of proteins, vitamin B and carbohydrates are generally higher after microwave cooking, while anti-nutritional substances are affected much less during conventional cooking. This also depends on if it is of animal or non-animal origin. However, for the majority of nutrition values the differences are quite small.

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.