Syftet med föreliggande studie var att undersöka hur bra vi är på att bedöma ålder på omaskerade och maskerade ansikten. Syftet var även att undersöka om det fanns systematiska fel som är förknippade med åldersbedömning av maskerade ansikten.Totalt fick 60 försöksdeltagare, samtliga ungdomar, skatta åldern på 60 fotografier av 30 maskerade och 30 omaskerade män.  Fotografierna var indelade i två åldersgrupper, yngre och äldre, och samtliga stimulipersoner förekom i både den maskerade och den omaskerade varianten.Resultaten visade att försöksdeltagarna var bättre på att skatta åldern på omaskerade ansikten än på maskerade. Inga skillnader i systematiska fel fans mellan maskerade och omaskerade ansikten.Bilder av unga ansikten skattades med högre precision än bilder av äldre ansikten..

The tourism industry is growing and with its growth competition between destinations rises. In competition, cooperation and collaboration between tourism operators seem beneficial when creating an attractive and dynamic tourist destination.The purpose of this study is to describe and discuss the significance and influence of tourist related networks at a tourist destination, and therefore this study aims to examine the question: What significance do the tourist related networks have at a tourist destination?This study focuses on seven networks on Gotland that are tourism related, and the representatives of the networks were interviewed in order to get their view on the network and its significance to the destination. The study shows that networks have an important role in creating a unified tourist product of the destination, and in reaching out to the potential visitors through joint destination marketing. The study also shows that the tourism related networks helps to improve the reception of the tourist at a destination and to secure the quality of the tourist destination and its tourist products..

In this study, we have examined how Swedish tour operators are using social media as part of their marketing plan. Our purpose was to find out which strategies they use in the area of social marketing. The companies that were examined were Ving, Fritidsresor and Jambo tours, and the social network site that the research focused on was Facebook. The examination was conducted with a content analysis of the companies' Facebook pages and qualitative, structured interviews with the companies. The aim was to compare the various tour operators Facebook pages in order to get a broader overview of the companies marketing strategies.

The aim of this master's degree dissertation is to compile examples of different ways of planning, implementing and following up the organisation of two integrated libraries, which serve both the general public and the school. In order to respond to this, we formulated the all-embracing question: How best can the integration of libraries for schools and the general public be planned, implemented and followed up? This formulation gave rise to four further questions. In order to answer these questions, the problem formulated and our basic aim, we have studied the relevant literature on school libraries, libraries for the general public, and integrated libraries. These sources comprise official reports on this theme, dissertations, and more topical articles.

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 idea that I put forward in this thesis concerns the democratic system and the threat from discoursive impact on its core values. I focus my normative analysis on three of these democratic values: transparency, accountability and influence ? and what democratic problems the discoursive impact causes in conflict with them. I have used a critical discourse theory to define discourse and discoursive impact, by focusing on the process of discourse, rather than its nature. I deal with the political structure where I claim that the essential relation between citizen and politician is disrupted, due to lack of information and the imminent problems of the existing network society.

Syftet med examensarbetet är att redogöra för hur ett system baserat påExcel kan migreras till en webb- och databasplattform. Initiativtagare tillarbetet är en avdelning vid Ericsson AB i Linköping. Avdelningen använderExcel till datalagring och presentation av testmiljöbeskrivningar ochönskade migrera detta Excelbaserade system till ett webbaserat dito. Någraav de problem som uppkommer vid migration är: nya säkerhetsrisker; hurdata ska ordnas i databasen för att uppnå sökbarhet och versionshanteringsamt hur presentation av data ska styras.För att svara på dessa frågor har vi utfört en förstudie och enimplementation av systemet Node Network Plan Database (NNP DB),vilket ämnar ersätta det Excelbaserade systemet. Rapporten beskriver hur:säkerhetsrisker har minimerats genom att införa lämpliga skydd; databasenhar designats för att uppnå sökbarhet och versionshantering; presentation avdata kan styras.NNP DB visar sig vara effektivare, ur ett tidsperspektiv, än detExcelbaserade systemet.

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.