Biodiversidade de minhocas do solo na estação experimental cascata, Embrapa Clima Temperado, Pelotas, RS.

bitstream/item/30567/1/boletim-112.pd

Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation

This paper addresses the problem of domain adaptation for the task of music source separation. Using datasets from two different domains, we compare the performance of a deep learning-based harmonic-percussive source separation model under different training scenarios, including supervised joint training using data from both domains and pre-training in one domain with fine-tuning in another. We propose an adversarial unsupervised domain adaptation approach suitable for the case where no labelled data (ground-truth source signals) from a target domain is available. By leveraging unlabelled data (only mixtures) from this domain, experiments show that our framework can improve separation performance on the new domain without losing any considerable performance on the original domain. The paper also introduces the Tap & Fiddle dataset, a dataset containing recordings of Scandinavian fiddle tunes along with isolated tracks for "foot-tapping" and "violin"

Criação automática de arvore hiperbólica para organização de banco de dados.

Durante a execução de um projeto de pesquisa, gera-se e necessita-se de uma grande massa de dados, o que, muitas vezes, dificulta a manipulação e a organização desse dados. Isso se repete em projetos de pesquisa e zoneamentos em geral, que tem como base arquivos shapefile e tabelas de diversos temas - solos, hidrologia, relevo, clima, entre outros para todos os Estados do Brasil. A fim de eliminar o trabalho repetitivo na geração e na busca por esses dados, foi criado um banco de dados chamado "Recursos Naturais", que reúne as diversas informações e está à disposição de todos os projetos interessados. Com o objetivo de nivelar uma base de dados para todos os projetos, utilizou-se a estrutura de árvore hiperbólica, que diminui o esforço repetitivo de busca ou geração por algum dado que já esteja disponível

Zoneamento agroclimático para cana-de-açúcar no continente africano.

O zoneamento agrícola da cana de açúcar tem como objetivo fornecer subsídios técnicos para formulação de políticas públicas à expansão e produção sustentável. Neste trabalho foi realizado o zoneamento de aptidão climática e pedológica para a cana-de-açúcar no continente africano, onde os principais indicadores considerados na elaboração foram a temperatura, a deficiência hídrica, a declividade e o tipo de solo. Foi possível identificar as áreas mais adequadas ao cultivo da cana-de-açúcar e as regiões onde há restrições para seu desenvolvimento. O presente trabalho teve como objetivo avaliar a aptidão climática e pedológica da cana de açúcar no continente africano.Trabalho apresentado na V Mostra de Trabalhos de Estagiários e Bolsistas, Campinas, out. 2009

Composição florística e fauna associada das ilhas flutuantes livres, Rio Paraguai, Corumbá, MS.

As ilhas flutuantes livres englobam várias espécies vegetais tais como camalotes e gramíneas. Nas folhas e raízes destas plantas encontra-se uma diversidade de organismos. Este trabalho teve como objetivo fazer o levantamento das espécies vegetais componentes das ilhas flutuantes livres e conhecer os organismos associados e seus hábitos alimentares. Free floating islands include several species such as water hyacinth and grasses. In leaves and roots of these plants there are a diversity of organisms. This study aimed to survey the plant species of these free floating islands and recognize the associated organisms and its food habits

Pitch-informed instrument assignment using a deep convolutional network with multiple kernel shapes

This paper proposes a deep convolutional neural network for performing note-level instrument assignment. Given a polyphonic multi-instrumental music signal along with its ground truth or predicted notes, the objective is to assign an instrumental source for each note. This problem is addressed as a pitch-informed classification task where each note is analysed individually. We also propose to utilise several kernel shapes in the convolutional layers in order to facilitate learning of timbre-discriminative feature maps. Experiments on the MusicNet dataset using 7 instrument classes show that our approach is able to achieve an average F-score of 0.904 when the original multi-pitch annotations are used as the pitch information for the system, and that it also excels if the note information is provided using third-party multi-pitch estimation algorithms. We also include ablation studies investigating the effects of the use of multiple kernel shapes and comparing different input representations for the audio and the note-related information

Was the GLE on May 17, 2012 linked with the M5.1-class flare the first in the 24th solar cycle?

On May 17, 2012 an M5.1-class flare exploded from the sun. An O-type coronal mass ejection (CME) was also associated with this flare. There was an instant increase in proton flux with peak at $\geq 100$ MeV, leading to S2 solar radiation storm level. In about 20 minutes after the X-ray emission, the solar particles reached the Earth.It was the source of the first (since December 2006) ground level enhancement (GLE) of the current solar cycle 24. The GLE was detected by neutron monitors (NM) and other ground based detectors. Here we present an observation by the Tupi muon telescopes (Niteroi, Brazil, $22^{0}.9 S$, $43^{0}.2 W$, 3 m above sea level) of the enhancement of muons at ground level associated with this M5.1-class solar flare. The Tupi telescopes registered a muon excess over background $\sim 20\%$ in the 5-min binning time profile. The Tupi signal is studied in correlation with data obtained by space-borne detectors (GOES, ACE), ground based neutron monitors (Oulu) and air shower detectors (the IceTop surface component of the IceCube neutrino observatory). We also report the observation of the muon signal possibly associated with the CME/sheath striking the Earth magnetosphere on May 20, 2012. We show that the observed temporal correlation of the muon excess observed by the Tupi muon telescopes with solar transient events suggests a real physical connection between them. Our observation indicates that combination of two factors, the low energy threshold of the Tupi muon telescopes and the location of the Tupi experiment in the South Atlantic Anomaly region, can be favorable in the study and detection of the solar transient events. Our experiment provides new data complementary to other techniques (space and ground based) in the study of solar physics.Comment: 9 pages, 10 figure