Several methods have been proposed to delineate management zones in agricultural fields, which can guide interventions of the farmers increase crop yield. In this study, we propose a new approach using remote sensing data at three farm sites located southern Brazil. The is based on hypothesis that measured aboveground biomass (AGB) cover crops correlated with cash-crop yield and be estimated from surface reflectance and/or vegetation indices (VIs). Therefore, used seven different statistical...

The classical relay feedback method for tuning proportional-integral-derivative (PID) controllers cannot be applied to plants whose Nyquist diagrams do not cross the negative real axis; these are customarily tuned based on reaction curve experiment. In this brief, we propose a modified experiment, transfer function of constant phase in an arbitrarily large range frequencies is inserted loop. proposed methodology thus unifies Ziegler-Nichols-like methods, by allowing PID class without...

Much recent research has dealt with the identifiability of a dynamical network in which node signals are connected by causal linear time-invariant transfer functions and possibly excited known external excitation and/or unknown noise signals. So far all results on whole have assumed that measured. Under this assumption, it been shown such networks identifiable only if some prior knowledge is available about structure network, particular excitation. In paper we present first for situation...

Evaluation of biomass is essential in agriculture to delineate crop management practices, and this usually done manually, which time-consuming destructive. This work proposes an artificial neural network convolutional estimate the above-ground (AGB) wheat using visible spectrum images captured by unmanned aerial vehicle. The utilized dataset has two Brazilian types, called Parrudo Toruk. Furthermore, experimental area variability growth varying amount nitrogen. To determine AGB, samples...

Remote biomass estimation can benefit agricultural practices in several ways, especially larger areas since it does not require local measurements. The advances of the last few decades machine learning techniques have created new possibilities for estimating aboveground biomass. A pipeline was established from image acquisition to modelling shoot two wheat cultivars used Southern Brazil (TBIO Toruk and BRS Parrudo). UAV acquire multispectral images with high spatial resolution calculate...

The identification of networks from measured data has been studied for many years in computer science and statistics. Central to this topic is the identifiability network, also called reconstructibility or faithfulness these communities. This paper examines a class which node signals, assumed measurable, are connected by linear time-invariant transfer functions, noise signal and/or known excitation may not be present at each node. discusses notion network identifiability. It then proposes...

Intensity Modulated Radiotherapy is a new technique enabling the sculpting of 3D radiation dose. It enables to modulate delivery dose inside malignant areas and constrain plan for protecting important functional areas. also raises issues adequacy accuracy selection delineation target volumes. The in patient image tumor volume highly time-consuming requires considerable expertise. In this paper we focus on atlas based automatic segmentation head neck patients compare two non-rigid...

Tissue expansion is a time-honored technique in plastic surgery. However, while it possible to rectify quite severe problems, the not free of complications (e.g., extrusion) and, moreover, can be lengthy procedure, often taking months. Endoscopy increasingly being used surgery and has advantage that large areas dissected using only small incisions. endoscopic main problem lack an optical cavity. This means special retractors are needed keep skin fat tissue lifted. paper describes for...

In this paper we compare three non-rigid registration methods for atlas-based segmentation: B-splines, morphons and a combination of demons. To assess the quality each method, use data set four patients, containing patient computed tomography (CT) image manual segmentation organs at risk performed by an expert head neck anatomy. Non-rigid algorithms have been used to match atlas images. Each deformation field, resulting from deformation, applied on masks corresponding segmented regions in...

In this paper we present a methodology to build computational anatomical atlas based on the analysis of dense deformation fields recovered by Morphons non-rigid registration algorithm. The construction procedure is minimization effort required register whole database reference. suitability our method demonstrated for head and neck anatomy. application, CT most frequently used modality segmentation organs at risk clinical target volume. One challenge brought use images presence important...

In this paper we present a methodology to build computational anatomical atlas based on the analysis of dense deformation fields recovered by Morphons non-rigid registration algorithm. The construction procedure is minimization effort required register whole database reference. suitability our method demonstrated for head and neck anatomy. application, CT most frequently used modality segmentation organs at risk clinical target volume. One challenge brought use images presence important...

Existing tuning formulas for PID based on relay feedback experiments are derived from continuous-time systems theory, even though most such implemented digitally. These rely the fact that, according to this continuous time experiment allows identification of ultimate point plant's frequency response -the at which its Nyquist plot crosses negative real axis. We have shown in a recent paper (Bazanella and Parraga (2016)) that sampled may exhibit various limit-cycles possibly quite different...

Despite several technological advances in the past years, vast majority of microscopy examinations continue to be performed a very laborious, time-consuming manner, requiring highly experienced personnel spend hours visually examine each microscope slide. Due recent improvements modern Digital Image Processing, professionals that work on microscopic exams could benefit from new tools can apply image processing possibilities their specific field. We propose framework consisting an...

Esta pesquisa apresenta um estudo realizado com as egressas do Curso de Engenharia Computação da UERGS. O objetivo desta foi investigar o percurso acadêmico e a atuação profissional das egressas, buscando identificar dificuldades redes apoio ao longo curso. A é classificada como aplicada utilizou abordagem quali-quanti na análise dos dados. Os resultados apontam que estão atuando área há evidências os projetos extensão quais elas participaram tiveram influência em suas profissões. Além...

ABSTRACTOlimpíada Nacional de Aplicativos (ONDA) is a scientificOlympiad for high school students from all over Brazil. One ofthe problems highlighted in other scientific Olympiads, especiallythose technological areas, the disparity number ofwomen participating, which are very low. The goal of this work isto present how ONDA Olympics has solved problem. Inthis way, different competition, as it providesintegration into teams between boys and girls, where they discuss,present their ideas...

In this paper we present a methodology to build computational anatomical atlas based on the analysis of dense deformation fields recovered by Morphons non-rigid registration algorithm. The construction procedure is minimization effort required register whole database reference. suitability our method demonstrated for head and neck anatomy. application, CT most frequently used modality segmentation organs at risk clinical target volume. One challenge brought use images presence important...