DSpace-CRIS 7

Recent Publication Additions
  • conference paper;
    Procedia environmental sciences: Spatial statistics 2015: Emerging patterns
    The problem of classifying a spatial multivariate Gaussian data into one of several categories specified by different regression mean models is considered. The classifier based on plug-in Bayes classification rule (PBCR) formed by replacing unknown parameters in Bayes classification rule (BCR) with category parameters estimators is investigated. This is the extension of the previous one from the two category case to the multiple category case. The novel close-form expressions for the Bayes misclassification probability and actual error rate associated with PBCR are derived. These error rates are suggested as performance measures for the classifications procedure. The three-category case with feature modelled by bivariate stationary Gaussian random field on regular lattice with exponential covariance function is used for the numerical analysis. Dependence of the derived error rates on category parameters is studied.
  • research article
    Druzhinina, Olga
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    Subetto, Dmitry
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    Vaikutienė, Giedrė
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    Kublitsky, Jury
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    Arslanov, Khikmatulla
    Baltica
    Newly obtained pollen and diatom data from the Kamyshovoe Lake (previous Dobauen, Germ.), Vishtynets Highland, Baltic Uplands, analyzed by radiocarbon dating allowed to reconstruct the history of local vegetation during late Pleistocene and early Holocene. Pollen records show the formation of birchpredominating forest at ca. 13.4 ka cal. BP and the flourishing of pine towards the second half of the Allerød since about 13.2 ka cal. BP. The transition to the Younger Dryas around 12.7 ka cal. BP led to the development of sparse shrub tundra with Juniperus and communities of steppe herbs. Amelioration of the environmental regime enabled birch and pine woods to spread during the second part of the GS-1 event and the Preboreal. The late Preboreal time is marked by the appearance of Populus and an increase in the role of grasses in the vegetation cover, which can be correlated with similar open vegetation phases deduced from other pollen records in Europe (11.3–11.1 ka cal. BP). During the Boreal (since ca. 10.0 ka cal. BP) Corylus had its maximum value, Alnus, Tilia and Quercus appeared and spread while the birch-pine forests retreated.
  • research article; ;
    Statistics & probability letters
    Given training sample, the problem of classifying the scalar Gaussian random field observation into one of several classes specified by different regression mean models and common parametric covariance function is considered. The classifier based on the plug-in Bayes classification rule formed by replacing unknown parameters in Bayes classification rule with their ML estimators is investigated. This is the extension of the previous one from the two-class case to the multiclass case. The novel close form expressions for the actual error rate and approximation of the expected error rate incurred by proposed classifier are derived. These error rates are suggested as performance measures for the proposed classifier. The three-class case with feature modelled by scalar stationary Gaussian random field on regular lattice with exponential covariance function is used for the numerical analysis of the proposed classifier performance. The accuracy of the obtained approximation is checked through a simulation study for various parametric structure cases.
  • research article
    Skorupskaitė, Virginija
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    Makarevičienė, Violeta
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    Šiaudinis, Gintaras
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    Zajančauskaitė, Viktorija
    Agronomy research
    The possible use of energy crops and aquaculture for bioenergy production has only recently become a research target, so there is little information on their properties and advantages. The aim of this study was to investigate the possible use of cup plant, as well as marine and freshwater algae (Scenedesmus sp. and Chlorella sp.) for biogas production. Research of a batch anaerobic digestion process at a mesophilic temperature were performed using wet wastewater sludge, cattle manure, fresh microalgae biomass and dry marine algae, cup plant biomass and mixtures of these materials. The highest biogas yield (541.28 ml g-1 VS) was obtained by using a new feedstock from the microalgae Scenedesmus sp. biomass. That yield was 1.4 times higher than the biogas yield from cattle manure and 15% lower than the biogas yield from wastewater sludge. It was found that adding microalgae biomass to a cattle manure substrate increases biogas production approx. 1.5 times. The highest methane concentration in biogas produced from microalgae ranges from 64.87% to 66.66% and exceeds the methane amount (64.26%) in biogas produced from wastewater sludge. The methane amount in biogas produced from cattle manure, cup plant and marine algae biomass is lower than 60%. In addition, it was found that it is possible to produce 5,092.3 m3 of biogas or 113 GJ of energy from 1 ha of harvested cup plant biomass.
  • journal article
    Fedorovič, Julija
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    Pupienis, Donatas
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    Jarmalavičius, Darius
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    Damušytė, Aldona
    Geologijos akiračiai
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