The use of vision applications are growing and the demand for integration and connectivity with other industrial automation control devices is increasing. Some businesses that are using vision technology follow US Food and Drugs Administration (FDA) regulation concerning audit trail. This thesis investigates the possibility to use vision technology for counting objects, achieving connectivity and to follow FDAs audit trail regulation. A market survey has been used to select suitable hardware and software to be used in the design of an application that is able to count objects and that uses standard industrial network connection i.e. OPC data access and Microsoft?s .NET components over Ethernet.

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.

It has now passed two years since the new site- and construction law, PBL, went into force. It replaced the previous PBL applicable since 1987, and it involves relatively large changes in many different areas of the construction sector. The ambitions of the new law are for instance to simplify and clarify the legal text, increase efficiency in the permitting processes and improve the quality of construction. To achieve this, a variety of changes was made. Some of the most important are: inserted deadline in the processing of building applications, extended assessment of building applications, revised rules about controlplan and quality manager, a certificate is required to start and end the project, an additional meeting is inserted and the construction management of the municipalities will have to do a mandatory visit at the work scene.

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.

Some MNEs encounter frustration or failures when they enter a new market. The main reason is due to a lack of adaptation. There is a lack of theoretical study about the local adaptation phenomenon of Swedish MNEs in China. Most studies are at the level of experience. Therefore, the purpose of this study is to find out the dimensions subject to local adaptation and their degree for the Swedish MNEs in China.

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.

In this thesis an explorative study was undertaken with the aim to study how a number of private care providers, as well as politicians and officials from councils in and around the Stockholm and Uppsala counties, think about the future of the Swedish elderly care from a property perspective, i.e. homes for the elderly. The analysis shows that there is a demand for capacity in 6 out of 16 municipalities, and that the property is an important part of this capacity, and the fulfillment of it. This was mainly due to the cost of capital, but also because of several other factors such as lack of land, a wish to guide the design, ideology, and in many cases a wish to use the property as an instrument of domination to control private health care providers.Also, the property was show to be connected to economic competition, to freedom of choice, and to quality. The problems related to the property in the market for elderly care still remains to be solved.

Bakgrund: Skiftarbete är en vanlig arbetsmodell för sjuksköterskor runt om i världen. Skiftarbete är dock förknippat med negativa konsekvenser så som dygnsrytmsstörning och ohälsa. Det är därför viktigt att tydligare belysa hur skiftarbete påverkar sjuksköterskor och den vård som ges.Syfte: Att beskriva skiftarbetes konsekvenser på sjuksköterskor och deras arbete.Metod: En litteraturöversikt baserad på 14 kvantitativa studier hämtade från PubMed. Använda sökord var: shift work, nurse, patient safety och fatigue. Översikten har gjorts enligt Friberg (2012a), där likheter och teman skapats utifrån studiernas resultat.Resultat: Långa och snabbroterande skift kan bidra till utbrändhet, sömnsvårigheter, fatigue och ökad misstagsfrekvens.

The paper aims to examine how well a small group unaccompanied children have established themselves in Swedish society. In order to determine how well they have established the empirical material which is primarily based on quantitative data has been measured with a theoretical model developed by the theorists Nancy Fraser and Alistair Ager and Alison Strang. Based on the theoretical framework the unaccompanied children establishments have been measured in example income, education, debts with Kronofogdemyndigheten and social network. It was found that the unaccompanied children had not achieved the establishment in the society that was expected from the theoretical framework. Their results were also generally below the national average for young adults in Sweden who are the same age.