Maakaasupolttimen säätöjärjestelmän kehittäminen

Jatkuvasti kiristyvät päästörajoitukset pakottavat teollisuuden kehittämään uusia ratkaisuja päästöjen vähentämiseksi. Hiilimonoksidin ja typen oksidien päästörajoitukset ovat erityi-sen tiukat esimerkiksi Kiinassa ja Yhdysvalloissa. Maakaasun ja ilman epätäydellisessä pa-lamisessa muodostuu hiilimonoksidia ja typen oksideja. Käytännön sovelluksissa palaminen on lähes aina epätäydellistä polttoaineen ja ilman epätäydellisen sekoittumisen takia, joten palamisreaktiossa muodostuva savukaasu sisältää edellä mainittuja haitallisia komponentteja lähes poikkeuksetta. Savukaasua voidaan puhdistaa erilaisilla menetelmillä ennen sen pää-tymistä ympäristöön. Tässä diplomityössä esitellään maakaasupoltinjärjestelmän keskeiset komponentit ja aihee-seen liittyvät tarpeelliset käsitteet sekä suunnitellaan polttoaine-ilma-seossuhdesäätö eräälle maakaasupoltinjärjestelmälle. Säädön ensisijaisena tavoitteena on pitää seossuhde mahdolli-simman tarkasti halutussa arvossa savukaasun puhdistuksen kannalta. Lisäksi säädön on tarkoitus taata mahdollisimman hyvä suorituskyky transienttitilanteissa. Järjestelmän eri osien toiminta mallinnetaan ja analysoidaan. Mallinnuksen perusteella suunnitellaan ja simu-loidaan säätöjärjestelmä. Suunniteltu säätöjärjestelmä toteutetaan osaksi polttolaitoksen automaatiojärjestelmää. Mittaustulokset osoittavat, että päästöjen kannalta säätö pitää seossuhteen riittävän tarkasti halutussa arvossa: hiilimonoksidin ja typen oksidien päästöt ovat asetettujen rajojen sisällä. Testiajojen perusteella prosessi on kuitenkin erittäin häiriöinen ja transienttitilanteissa ei saavuteta simulointien mukaista suorituskykyä.

Cleavages in contemporary Finland : a study on party-voter ties

Cleavages have been central in understanding the relationship between political parties and voters but the credibility of cleavage approach has been increasingly debated. This is because of decreasing party loyalty, fewer ideological differences between the parties and general social structural change amongst other factors. By definition, cleavages arise when social structural groups recognize their clashing interests, which are reflected in common values and attitudes, and vote for parties that are dedicated to defend the interests of the groups concerned. This study assesses relevance of cleavage approach in the Finnish context. The research problem in this study is “what kind of a cleavage structure exists in Finland at the beginning of the 21st century? Finland represents a case that has traditionally been characterized by a strong and diverse cleavage structure, notable ideological fragmentation in the electorate and an ideologically diverse party system. Nevertheless, the picture of the party-voter ties in Finland still remains incomplete with regard to a thorough analysis of cleavages. In addition, despite the vast amount of literature on cleavages in political science, studies that thoroughly analyze national cleavage structures by assessing the relationship between social structural position, values and attitudes and party choice have been rare. The research questions are approached by deploying statistical analyses, and using Finnish National Election Studies from 2003, 2007 and 2011as data. In this study, seven different social structural cleavage bases are analyzed: native language, type of residential area, occupational class, education, denomination, gender and age cohorts. Four different value/attitudinal dimensions were identified in this study: economic right and authority, regional and socioeconomic equality, sociocultural and European Union dimensions. This study shows that despite the weak overall effect of social structural positions on values and attitudes, a few rather strong connections between them were identified. The overall impact of social structural position and values and attitudes on party choice varies significantly between parties. Cleavages still exist in Finland and the cleavage structure partly reflects the old basis in the Finnish party system. The cleavage that is based on the type of residential area and reflected in regional and socioeconomic equality dimensions concerns primarily the voters of the Centre Party and the Coalition Party. The linguistic cleavage concerns mostly the voters of the Swedish People’s Party. The classic class cleavage reflected in the regional and socioeconomic equality dimension concerns in turn first and foremost the blue-collar voters of the Left Alliance and the Social Democratic Party, the agricultural entrepreneur voters of the Centre Party and higher professional and manager voters of the Coalition Party. The conflict with the most potential as a cleavage is the one based on social status (occupational class and education) and it is reflected in sociocultural and EU dimensions. It sets the voters of the True Finns against the voters of the Green League and the Coalition Party. The study underlines the challenges the old parties have met after the volatile election in 2011, which shook the cleavage structure. It also describes the complexity involved in the Finnish conflict structure and the multidimensionality in the electoral competition between the parties.

Bayesian analysis of SEIR epidemic models

This thesis concerns the analysis of epidemic models. We adopt the Bayesian paradigm and develop suitable Markov Chain Monte Carlo (MCMC) algorithms. This is done by considering an Ebola outbreak in the Democratic Republic of Congo, former Zaïre, 1995 as a case of SEIR epidemic models. We model the Ebola epidemic deterministically using ODEs and stochastically through SDEs to take into account a possible bias in each compartment. Since the model has unknown parameters, we use different methods to estimate them such as least squares, maximum likelihood and MCMC. The motivation behind choosing MCMC over other existing methods in this thesis is that it has the ability to tackle complicated nonlinear problems with large number of parameters. First, in a deterministic Ebola model, we compute the likelihood function by sum of square of residuals method and estimate parameters using the LSQ and MCMC methods. We sample parameters and then use them to calculate the basic reproduction number and to study the disease-free equilibrium. From the sampled chain from the posterior, we test the convergence diagnostic and confirm the viability of the model. The results show that the Ebola model fits the observed onset data with high precision, and all the unknown model parameters are well identified. Second, we convert the ODE model into a SDE Ebola model. We compute the likelihood function using extended Kalman filter (EKF) and estimate parameters again. The motivation of using the SDE formulation here is to consider the impact of modelling errors. Moreover, the EKF approach allows us to formulate a filtered likelihood for the parameters of such a stochastic model. We use the MCMC procedure to attain the posterior distributions of the parameters of the SDE Ebola model drift and diffusion parts. In this thesis, we analyse two cases: (1) the model error covariance matrix of the dynamic noise is close to zero , i.e. only small stochasticity added into the model. The results are then similar to the ones got from deterministic Ebola model, even if methods of computing the likelihood function are different (2) the model error covariance matrix is different from zero, i.e. a considerable stochasticity is introduced into the Ebola model. This accounts for the situation where we would know that the model is not exact. As a results, we obtain parameter posteriors with larger variances. Consequently, the model predictions then show larger uncertainties, in accordance with the assumption of an incomplete model.

De novo transcriptome assembly and annotation of the isopod Idotea balthica

The Baltic Sea is a unique environment that contains unique genetic populations. In order to study these populations on a genetic level basic molecular research is needed. The aim of this thesis was to provide a basic genetic resource for population genomic studies by de novo assembling a transcriptome for the Baltic Sea isopod Idotea balthica. RNA was extracted from a whole single adult male isopod and sequenced using Illumina (125bp PE) RNA-Seq. The reads were preprocessed using FASTQC for quality control, TRIMMOMATIC for trimming, and RCORRECTOR for error correction. The preprocessed reads were then assembled with TRINITY, a de Bruijn graph-based assembler, using different k-mer sizes. The different assemblies were combined and clustered using CD-HIT. The assemblies were evaluated using TRANSRATE for quality and filtering, BUSCO for completeness, and TRANSDECODER for annotation potential. The 25-mer assembly was annotated using PANNZER (protein annotation with z-score) and BLASTX. The 25-mer assembly represents the best first draft assembly since it contains the most information. However, this assembly shows high levels of polymorphism, which currently cannot be differentiated as paralogs or allelic variants. Furthermore, this assembly is incomplete, which could be improved by sampling additional developmental stages.