Seleção de jabuticabeiras juvenis considerando o vigor, o potencial antioxidante e a tolerância a geadas

The jabuticaba tree has great potential for commercial exploitation. However, its is very little used. This fact shows to be necessary to do studies that allow understand their growth behavior during the year and, if it is tolerant to frost. So that it can establish management strategies for cultivation in orchard. Other point, it is the fact that the long juvenile period of jabuticaba tree limits its use. However, many species have compound leaves that characterize them as functional compounds, what to posible its commercialization. If the leaf jabuticaba tree also present such nutraceutical compounds, this it may become an alternative source of income until the plant to start its yield. The objectives of this study were to analyze the growth behavior, the occurrence of flowering and fruit set, and the frost tolerance of jabuticaba tree genotypes present in the collection of Native Fruit from UTFPR – Câmpus Dois Vizinhos. Associated growth analysis was made evaluation of genetic divergence among these genotypes, checking the adaptive behavior in orchard condition through adaptability and stability analysis based on growth measures to stem and shoots; estimating the repeatability coefficient of stem length of characters and primary shoots, and determine the minimum number of evaluations able to provide certain levels of prediction of the actual value of these individuals. Also determined the genetic divergence among genotypes as the leaves of antioxidant activity by DPPH and ABTS methods, as well as the determination of total phenolics. The genotypes studied were put in orchard in 2009. The growth response in the three cycles was variable between months and genotypes, what it can be difficult the practices in the orchard if it do not use clones. Genotypes 'Silvestre' and 'Açú' showed greater width and leaf area compared with other genotypes, but such behavior is not favored for increased stem growth and primary shoots. Foliar increments in most genotypes occurred in the fall for leaf width, spring for length and leaf area, despite the winter also arise with genotypes, it showed superiority to width and leaf area. Most jabuticabas trees were juvenile stage with only four starting at its transition between the vegetative and reproductive phase. Tolerance to frost was observed in 26 families jabuticabeira of the 29 present in the collection. The diversity among the genotypes was to change with the time, already in each cycle, there was the formation of different groups by the methods used. The methods tested for adaptability and stability of the jabuticaba tree growth behavior did not show the same pattern in the results. The number of measurements needed to predict the actual value of genotypes based on variables evaluated was approximately one to the stem length and four for the shoots based on the method of main components of covariance with 90% probability. he antioxidant activity of the extracts of leaves of jabuticaba tree genotypes were demonstrated high when compared to other species by methods DPPH and ABTS, as well as the amount of phenolic compounds. Genotype 'Silvestre' and 'IAPAR' showed the highest antioxidant activity in the leaves. However, the genetic divergence among genotypes jabuticaba tree from collection of Native Fruit trees at UTFPR - Câmpus Dois Vizinhos for antioxidant activity leaves showed that they have great homogeneity among them and the low divergence. However, it is recommended as possible hybridization the use as parents, José 4, IAPAR 4 and Fernando Xavier genotypes.

Comparação do controle do inversor trifásico conectado à rede com filtro LCL considerando o amortecimento passivo e ativo

Distributed generation systems must fulfill standards specifications of current harmonics injected to the grid. In order to satisfy these grid requirements, passive filters are connected between inverter and grid. This work compares the characteristic response of the traditional inductive (L) filter with the inductive-capacitive-inductive (LCL) filter. It is shown that increasing the inductance L leads to a good ripple current suppression around the inverter switching frequency. The LCL filter provides better harmonic attenuation and reduces the filter size. The main drawback is the LCL filter impedance, which is characterized by a typical resonance peak, which must be damped to avoid instability. Passive or active techniques can be used to damp the LCL resonance. To address this issue, this dissertation presents a comparison of current control for PV grid-tied inverters with L filter and LCL filter and also discuss the use of active and passive damping for different regions of resonance frequency. From the mathematical models, a design methodology of the controllers was developed and the dynamic behavior of the system operating in closed loop was investigated. To validate the studies developed during this work, experimental results are presented using a three-phase 5kW experimental platform. The main components and their functions are discussed in this work. Experimental results are given to support the theoretical analysis and to illustrate the performance of grid-connected PV inverter system. It is shown that the resonant frequency of the system, and sampling frequency can be associated in order to calculate a critical frequency, below which is essential to perform the damping of the LCL filter. Also, the experimental results show that the active buffer per virtual resistor, although with a simple development, is effective to damp the resonance of the LCL filter and allow the system to operate stable within predetermined parameters.

A contribution to semantic description of images and videos: an application of soft biometrics

Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.