A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

An Optimum-Path Forest framework for intrusion detection in computer networks

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Efficient supervised optimum-path forest classification for large datasets

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration

Image restoration attempts to enhance images corrupted by noise and blurring effects. Iterative approaches can better control the restoration algorithm in order to find a compromise of restoring high details in smoothed regions without increasing the noise. Techniques based on Projections Onto Convex Sets (POCS) have been extensively used in the context of image restoration by projecting the solution onto hyperspaces until some convergence criteria be reached. It is expected that an enhanced image can be obtained at the final of an unknown number of projections. The number of convex sets and its combinations allow designing several image restoration algorithms based on POCS. Here, we address two convex sets: Row-Action Projections (RAP) and Limited Amplitude (LA). Although RAP and LA have already been used in image restoration domain, the former has a relaxation parameter (A) that strongly depends on the characteristics of the image that will be restored, i.e., wrong values of A can lead to poorly restoration results. In this paper, we proposed a hybrid Particle Swarm Optimization (PS0)-POCS image restoration algorithm, in which the A value is obtained by PSO to be further used to restore images by POCS approach. Results showed that the proposed PSO-based restoration algorithm outperformed the widely used Wiener and Richardson-Lucy image restoration algorithms. (C) 2010 Elsevier B.V. All rights reserved.

IFTrace: Video segmentation of deformable objects using the Image Foresting Transform

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

An Intelligent System for Petroleum Well Drilling Cutting Analysis

Cutting analysis is a important and crucial task task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems during the petroleum well drilling process, such that the collapse of the well borehole walls. Cutting's images are acquired and sent to the data analysis module, which has as the main goal to extract features and to classify frames according to one of three previously classes of cutting's volume. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and efficiency. We used the Optimum-Path Forest (OPF), Artificial Neural Network using Multi layer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC) for this task. The first one outperformed all the remaining classifiers. Recall that we are also the first to introduce the OPF classifier in this field of knowledge. Very good results show the robustness of the proposed system, which can be also integrated with other commonly system (Mud-Logging) in order to improve the last one's efficiency.

Denoising swallowing sound to improve the evaluator's qualitative analysis

Swallowing dynamics involves the coordination and interaction of several muscles and nerves which allow correct food transport from mouth to stomach without laryngotracheal penetration or aspiration. Clinical swallowing assessment depends on the evaluator's knowledge of anatomic structures and of neurophysiological processes involved in swallowing. Any alteration in those steps is denominated oropharyngeal dysphagia, which may have many causes, such as neurological or mechanical disorders. Videofluoroscopy of swallowing is presently considered to be the best exam to objectively assess the dynamics of swallowing, but the exam needs to be conducted under certain restrictions, due to patient's exposure to radiation, which limits periodical repetition for monitoring swallowing therapy. Another method, called cervical auscultation, is a promising new diagnostic tool for the assessment of swallowing disorders. The potential to diagnose dysphagia in a noninvasive manner by assessing the sounds of swallowing is a highly attractive option for the dysphagia clinician. Even so, the captured sound has an amount of noise, which can hamper the evaluator's decision. In that way, the present paper proposes the use of a filter to improve the quality of audible sound and facilitate the perception of examination. The wavelet denoising approach is used to decompose the noisy signal. The signal to noise ratio was evaluated to demonstrate the quantitative results of the proposed methodology. (C) 2007 Elsevier Ltd. All rights reserved.

A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest

Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has traditionally been dealt with using artificial intelligence techniques, although their use can result in difficulties such as a high computational burden in the training phase and problems with parameter optimization. A recently-developed pattern recognition technique called optimum-path forest (OPF), however, has been shown to be superior to state-of-the-art artificial intelligence techniques. In this paper, we proposed to use OPF for nontechnical losses detection, as well as to apply its learning and pruning algorithms to this purpose. Comparisons against neural networks and other techniques demonstrated the robustness of the OPF with respect to commercial losses automatic identification.

New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Elaboração e validação de escala diagramática para quantificação da mancha alvo em folhas de acerola

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Atividade antifúngica de extratos de plantas a Colletotrichum gloeosporioides

The present work aimed to evaluate the effect fungitoxic of plant extracts on the mycelial growth and on the spores germination of C. gloeosporioides. The plant extracts were obtained starting from dried ground plants, using water and ethilic alcohol as extractor. Twenty-two plant species were used to obtain the extracts. The extracts were tested by means of the incorporation of 20% (v/v) in PDA medium, before or after sterilization. The percentage of inhibition of the mycelial growth (PIM) was determined. Extract in the proportion of 50% was added to a spore suspension used to determine the percentage of inhibition of the spores germination (PIS). The hidroetanolic extracts provided larger PIM of C. gloeosporioides, while larger PIS was obtained with the aqueous extracts. Non autoclaved extracts was the most efficient in mycelial growth of C. gloeosporioides, even more than the autoclaved ones. Aqueous and hidroetanolic extracts of Momordica charantia and hidroetanolic extract of Eucalyptus citriodora provided higher PIM. Aqueous extracts of Luffa acutangula, Eucalyptus citriodora, Chenopodium ambrosioides, and Bauhinia, and hidroetanolic extracts of Ruta graveolens, Eucalyptus citriodora, Zingiber officinale and Chenopodium ambrosioides inhibited more than 90% of spores germination.

Atividade fungitóxica de Momordica charantia L. no controle de Sclerotium rolfsii Sacc.

O fungo Sclerotium rolfsii causa grandes perdas em algumas culturas econômicas. Por produzir estruturas de resistência (escleródios), este fungo é de difícil controle. Há escassez de novos ingredientes ativos eficientes para o controle deste patógeno. Assim, o objetivo do presente trabalho foi verificar se existe atividade fungitóxica na planta Momordica charantia (melão-de-sãocaetano), com potencial futuro para ser estudado no controle de S. rolfsii. Para isso, dois ensaios foram realizados, um in vitro (laboratório) e outro in vivo (câmara de crescimento). em in vitro, escleródios do patógeno ficaram em contato com extratos hidroetanólico e aquoso de folhas e ramos de M. charantia e sem extrato por 7, 14, 21 e 28 dias. A sobrevivência dos escleródios foi avaliada em meio de cultura específico, após cada tempo. em in vivo, testou-se a ação dos mesmos extratos de maneira preventiva e curativa (aplicação aos 6 e 3 dias antes do plantio; no dia do plantio; e aos 3 e 6 dias após o plantio) e no tratamento de semente, no patossistema feijoeiro cv. Carioquinha versus S. rolfsii. A eficiência da ação dos extratos foi avaliada por meio da severidade da doença. Os extratos hidroetanólico e aquoso, in vitro, de forma semelhante, controlaram 100% os escleródios, num período de 0 a 7 dias. No ensaio in vivo, o extrato hidroetanólico, aplicado tanto em 6 ou 3 dias, antes do plantio, de forma preventiva, diminuiu a severidade da doença em 74%. Há atividade fungitóxica na parte aérea da planta de melão-de-são-caetano, com potencial futuro de estudo para controlar S. rolfsii, preferencialmente, de maneira preventiva.

Atividade do acaricida etoxazol sobre a mortalidade e reprodução do ácaro-da-leprose Brevipalpus phoenicis (Geijskes) (Acari: Tenuipalpidae), em citros

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudos epidemiológicos e controle químico de Phakopsora euvitis

Em janeiro de 2003 foram constatados sintomas típicos de ferrugem em folhas maduras de videira (Vitis vinifera), nas áreas experimentais da Universidade Estadual Paulista, Campus de Ilha Solteira, em Selvíria - MS e Ilha Solteira - SP. Este é o primeiro relato desta doença da videira no Centro-Oeste do Brasil. Considerando a intensidade da doença, a importância da cultura da videira na região e a falta de informações sobre a ferrugem, os objetivos deste trabalho foram: reconfirmar a patogenicidade de Phakopsora euvitis; estudar a influência da luz e da temperatura na germinação de urediniósporos; estudar o efeito do tipo de superfície na germinação de urediniósporos; determinar a longevidade in vivo de urediniósporos e avaliar a eficiência agronômica de fungicidas para o controle da ferrugem. Sintomas da ferrugem foram verificados somente em folhas maduras de videira. A temperatura de 25 ºC, no escuro, e a superfície inferior da folha de videira foram as melhores condições para a germinação de urediniósporos de P. euvitis. A germinação dos urediniósporos foi reduzida em 94%, em folhas de videira que foram retiradas das plantas e mantidas durante sete dias na superfície do solo. em dois experimentos realizados em campo constatou-se que os fungicidas tebuconazole, propiconazole e azoxystrobin proporcionaram as menores intensidades da doença. Tebuconazole apresentou-se como o fungicida mais eficiente no controle da ferrugem. No geral, maior intensidade da ferrugem foi observada em videira conduzida no sistema de espaldeira.