Taajuusmuuttajan ohjelmiston testaus

Tämän diplomityön tavoitteena oli kehittää menetelmiä ja ohjeitataajuusmuuttajan sulautetun ohjelmiston kehityksen aikaiseen testaukseen. Soveltuvia menetelmiä etsittiin tutkimalla laajasti kirjallisuutta sekä selvittämälläyrityksen testauskäytäntöä. Tutkittuja kirjallisuudesta löytyneitä menetelmä olivat testauskehykset, simulointi ja staattinen sekä automaattinen testaus. Kirjallisuudesta etsittiin myös menetelmiä, joiden avulla testausprosessia voidaan helpottaa tai muuten parantaa. Tällaisista menetelmistä tutkittiin muun muassa testidatan valintaa, testauslähtöistä kehitystä sekä testattavuuden parantamista. Lisäksi selvitettiin uudelleenkäytettävien testien ohjelmointiin soveltuvia ohjelmointikieliä. Haastatteluiden ja dokumentaation avulla saatiin hyvä käsitys yrityksessä vallitsevasta testauskäytännöstä sekä sen ongelmakohdista. Testauksen ongelmiksi havaittiin testausprosessin järjestelmällisyyden puute sekä tarve suunnittelijoiden testauskoulutukseen. Testausprosessin parantamiseksi esitetään moduulitestauskehyksen käyttöönottoa. Lisäksi suunnittelijoiden testauskoulutuksella arvioidaan olevan suuri vaikutus koko testausprosessiin. Testitapausten suunnitteluun esitetään menetelmiä, joiden avulla voidaan suunnitella kattavampia testejä.

Early selection in open-pollinated Eucalyptus families based on competition covariates

The objetive of this work was to evaluate the influence of intergenotypic competition in open-pollinated families of Eucalyptus and its effects on early selection efficiency. Two experiments were carried out, in which the timber volume was evaluated at three ages, in a randomized complete block design. Data from the three years of evaluation (experiment 1, at 2, 4, and 7 years; and experiment 2, at 2, 5, and 7 years) were analyzed using mixed models. The following were estimated: variance components, genetic parameters, selection gains, effective number, early selection efficiency, selection gain per unit time, and coincidence of selection with and without the use of competition covariates. Competition effect was nonsignificant for ages under three years, and adjustment using competition covariates was unnecessary. Early selection for families is effective; families that have a late growth spurt are more vulnerable to competition, which markedly impairs ranking at the end of the cycle. Early selection is efficient according to all adopted criteria, and the age of around three years is the most recommended, given the high efficiency and accuracy rate in the indication of trees and families. The addition of competition covariates at the end of the cycle improves early selection efficiency for almost all studied criteria.

A non-extensive maximum entropy based regulations method for bad conditioned inverse problems

A regularization method based on the non-extensive maximum entropy principle is devised. Special emphasis is given to the q=1/2 case. We show that, when the residual principle is considered as constraint, the q=1/2 generalized distribution of Tsallis yields a regularized solution for bad-conditioned problems. The so devised regularized distribution is endowed with a component which corresponds to the well known regularized solution of Tikhonov (1977).

Selection of bee species for environmental risk assessment of GM cotton in the Brazilian Cerrado

The objective of this work was to list potential candidate bee species for environmental risk assessment (ERA) of genetically modified (GM) cotton and to identify the most suited bee species for this task, according to their abundance and geographical distribution. Field inventories of bee on cotton flowers were performed in the states of Bahia and Mato Grosso, and in Distrito Federal, Brazil. During a 344 hour sampling, 3,470 bees from 74 species were recovered, at eight sites. Apis mellifera dominated the bee assemblages at all sites. Sampling at two sites that received no insecticide application was sufficient to identify the three most common and geographically widespread wild species: Paratrigona lineata, Melissoptila cnecomola, and Trigona spinipes, which could be useful indicators of pollination services in the ERA. Indirect ordination of common wild species revealed that insecticides reduced the number of native bee species and that interannual variation in bee assemblages may be low. Accumulation curves of rare bee species did not saturate, as expected in tropical and megadiverse regions. Species-based approaches are limited to analyze negative impacts of GM cotton on pollinator biological diversity. The accumulation rate of rare bee species, however, may be useful for evaluating possible negative effects of GM cotton on bee diversity.

Ylläpitosuunnittelun laadun arviointi ja mittaaminen

Tässä diplomityössä tutkittiin suunnittelupalvelun laatuun vaikuttavia tekijöitä sekä etsittiin keinoja mitata suunnittelupalvelun laatua. Diplomityön lähtökohtana oli tilanne, jossa suunnittelutoimisto toimittaa ylläpitosuunnittelupalvelua paperi- ja metsäteollisuuden alan yritykselle. Työssä selvitettiin yleisesti, mistä suunnittelupalvelun laatu muodostuu. Tärkeä osa työtä oli tutkia kyselytutkimuksen avulla, onko tilaajalla ja toimittajalla samanlaiset näkemykset laadun osalta. Kyselyt suoritettiin sekä haastatteluin että kirjallisesti. Vastauksia saatiin kaikkiaan 45 kappaletta. Kohdejoukko oli tarkasti määritelty koostuen sekä tilaajan että toimittajan edustajista. Työssähavaittiin, että suunnittelupalvelun laatuun ja toimittajan valintaan vaikuttavat hyvin paljon itse suunnitelmien laadun lisäksi henkilökohtaiset kokemukset palvelusta. Pahimmiksi riskitekijöiksi ylläpitosuunnittelulle koettiin lähtötietoihin liittyvät ongelmat sekä aikataulujen pettäminen. Näiden lisäksi työssä tehtiin selvitys suunnittelupalvelun laadun mittaristosta, jonka oikealla käytöllä voitaisiin luoda ohjausvaikutus suunnittelupalveluprosessiin paremman laadun ja tehokkaamman toiminnan aikaansaamiseksi.

Carbon isotope fractionation for cotton genotype selection

The objective of this work was to evaluate the carbon isotope fractionation as a phenomic facility for cotton selection in contrasting environments and to assess its relationship with yield components. The experiments were carried out in a randomized block design, with four replicates, in the municipalities of Santa Helena de Goiás (SHGO) and Montividiu (MONT), in the state of Goiás, Brazil. The analysis of carbon isotope discrimination (Δ) was performed in 15 breeding lines and three cultivars. Subsequently, the root growth kinetic and root system architecture from the selected genotypes were determined. In both locations, Δ analyses were suitable to discriminate cotton genotypes. There was a positive correlation between Δ and seed-cotton yield in SHGO, where water deficit was more severe. In this site, the negative correlations found between Δ and fiber percentage indicate an integrative effect of gas exchange on Δ and its association with yield components. As for root robustness and growth kinetic, the GO 05 809 genotype performance contributes to sustain the highest values of Δ found in MONT, where edaphoclimatic conditions were more suitable for cotton. The use of Δ analysis as a phenomic facility can help to select cotton genotypes, in order to obtain plants with higher efficiency for gas exchange and water use.

Selection of the most informative morphoagronomic descriptors for cassava germplasm

The objective of this work was to select the most informative morphoagronomic descriptors for cassava (Manihot esculenta) germplasm and to evaluate the ability of different methods to select the descriptors. Ninety-five accessions were characterized using 51 morphoagronomic descriptors. Data were subjected to a multiple correspondence analysis (MCA), whose information was used in the following four methods of descriptor selection: reverse order of the descriptor for the pth factorial axis of the MCA (Jolliffe); sequential, multiple correspondence analysis (SMCA); mean of the contribution orders of the descriptor in the first three factorial axes (C3PA); and C3PA method weighted by the respective eigenvalues of the full analysis (C3PAWeig). The correlations between the dissimilarity matrix with all descriptors and the most informative descriptors were high and significant (0.75, 0.77, 0.83, and 0.84 for C3PAWeig, C3PA, SMCA, and Jolliffe, respectively). The less informative descriptors were discarded, considering those common among the selection methods and relevant for the breeding interests. Therefore, 32 morphoagronomic descriptors with correlation between the dissimilarity matrices (r=0.81) were selected, due to their high capacity to discriminate cassava germplasm and to their ability to maintain some preliminary agronomic traits, useful for the initial characterization of the germplasm.