Hakunilan Kultsa/Urban II hanke : pohdintaa yhteisöteatterin merkityksestä alueelle

This thesis analyses what local community theatre activity means to an area and its residents, and whether this kind of activity is meaningful. The objective was to explore whether and how community art can help urban areas to move in the direction of sustainable development: whether art can be part of regional policy development work. Hakunilan Kultsa was founded in 2003. It is an Urban II, European Union project and part of the Community Iniative Programme 2001-2006, financed by the EU. Hakunilan Kultsa is also a co-operation between Vantaa city council's culture and youth services. The project encourages Hakunila residents of different ages to take part in versatile art and cultural intrests in the Hakunila youth centre. People have the opportunity to participate in theatre, expression, arts, dance, performing arts and writing groups. One of the main aims is to found a sustainable community theatre in the area. The thesis examines what effects Hakunilan Kultsa has had so far. Inquiry form and thematical interviews have been used as research methods. Interviews and questionnaires were gathered between Autumn 2004 and Spring 2005. The whole process lasted from Spring 2004 until Spring 2006. The author also made participatory observations during the research process which in turn affected the conclusions. The thesis also deals with associated topics such as urban programmes, sustainable development, Hakunila as a suburban area, resident stimulation, and community thetare work. Hakunilan Kultsa has proved its importance. Based on the enquiries and interviews, the project has effectively presented the possibility for art forms to become hobbies. There is no cultural, age or economical discrimination. The easily accessible site and the low threshold principle make it easy for people to participate. The community theatre has improved the area's public image, increased participation and initiative, and given a voice to the community.

Evaluation of performance analysis software for Linux computing cluster

Tietokonejärjestelmän osien ja ohjelmistojen suorituskykymittauksista saadaan tietoa,jota voidaan käyttää suorituskyvyn parantamiseen ja laitteistohankintojen päätöksen tukena. Tässä työssä tutustutaan suorituskyvyn mittaamiseen ja mittausohjelmiin eli ns. benchmark-ohjelmistoihin. Työssä etsittiin ja arvioitiin eri tyyppisiä vapaasti saatavilla olevia benchmark-ohjelmia, jotka soveltuvat Linux-laskentaklusterin suorituskyvynanalysointiin. Benchmarkit ryhmiteltiin ja arvioitiin testaamalla niiden ominaisuuksia Linux-klusterissa. Työssä käsitellään myös mittausten tekemisen ja rinnakkaislaskennan haasteita. Benchmarkkeja löytyi moneen tarkoitukseen ja ne osoittautuivat laadultaan ja laajuudeltaan vaihteleviksi. Niitä on myös koottu ohjelmistopaketeiksi, jotta laitteiston suorituskyvystä saisi laajemman kuvan kuin mitä yhdellä ohjelmalla on mahdollista saada. Olennaista on ymmärtää nopeus, jolla dataa saadaan siirretyä prosessorille keskusmuistista, levyjärjestelmistä ja toisista laskentasolmuista. Tyypillinen benchmark-ohjelma sisältää paljon laskentaa tarvitsevan matemaattisen algoritmin, jota käytetään tieteellisissä ohjelmistoissa. Benchmarkista riippuen tulosten ymmärtäminen ja hyödyntäminen voi olla haasteellista.

Soft Computing Methods in Metallurgy

In metallurgic plants a high quality metal production is always required. Nowadays soft computing applications are more often used for automation of manufacturing process and quality control instead of mechanical techniques. In this thesis an overview of soft computing methods presents. As an example of soft computing application, an effective model of fuzzy expert system for the automotive quality control of steel degassing process was developed. The purpose of this work is to describe the fuzzy relations as quality hypersurfaces by varying number of linguistic variables and fuzzy sets.

Evolutionary computing in search-based software engineering

This master’s thesis aims to study and represent from literature how evolutionary algorithms are used to solve different search and optimisation problems in the area of software engineering. Evolutionary algorithms are methods, which imitate the natural evolution process. An artificial evolution process evaluates fitness of each individual, which are solution candidates. The next population of candidate solutions is formed by using the good properties of the current population by applying different mutation and crossover operations. Different kinds of evolutionary algorithm applications related to software engineering were searched in the literature. Applications were classified and represented. Also the necessary basics about evolutionary algorithms were presented. It was concluded, that majority of evolutionary algorithm applications related to software engineering were about software design or testing. For example, there were applications about classifying software production data, project scheduling, static task scheduling related to parallel computing, allocating modules to subsystems, N-version programming, test data generation and generating an integration test order. Many applications were experimental testing rather than ready for real production use. There were also some Computer Aided Software Engineering tools based on evolutionary algorithms.