Harmony Search applied for Support Vector Machines Training Optimization

Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which have obtained very promising results for data classification. However, this classifier requires an expensive training phase, which is dominated by a parameter optimization that aims to make SVM less prone to errors over the training set. In this paper, we model the problem of finding such parameters as a metaheuristic-based optimization task, which is performed through Harmony Search (HS) and some of its variants. The experimental results have showen the robustness of HS-based approaches for such task in comparison against with an exhaustive (grid) search, and also a Particle Swarm Optimization-based implementation.

Recuperação de turbinas hidráulicas danificadas por erosão cavitacional por soldagem com aço inoxidável/cobalto

Pós-graduação em Engenharia Mecânica - FEIS

Modelo de conductancia hidráulica de la dentina humana ex vivo

The main objective of this work was to mount and test an experimental model to measure the hydraulic conductance of ex vivo dentin. Seventeen healthy third molars, with indication of extraction of healthy donors aged between 15 and 30 years were obtained by informed consent. After cleaning them, disinfecting them, including them in resin epoxy and cutting them, there were 17 samples of dentin, corresponding to a disk of resin with a coronal section of tooth showing the dentin exposed on both sides of it. Three machines to measure the hydraulic conductance of the dentin were assembled according to the description of the model of Pashley. Samples were installed in a Chamber of diffusion, connected by using silicone tubes to a graduated transfer pipette and a 20cm water column. Through the displacement of a bubble of water in the inside of the pipette, the hydraulic conductance of each sample was measured 3 times on the 14th, 21st, 28th and 35th day post extraction. The data were tabulated and analyzed statistically. There is no SS difference in the rate of flow of a measured sample in the three machines (p=0.5937). There is no SS difference in measurements of the hydraulic conductance of 13 samples of human dentin measured in days 14, 21, 28 and 35 postextraction (p=0.0704). It is possible to mount an experimental model to study the hydraulic conductance of dentin ex vivo, based on the model of Pashley. The model seems to be reliable, but more research is needed in order to validate its reliability.

Bridging hydraulic diffusivity from aquifer to particle-size scale: a study on loess sediments from southwest Hungary

In situ megascale hydraulic diffusivities (D) of a confined loess aquifer were estimated at various scales (10 <= L <= 1500 m) by a finite difference model, and laboratory microscale diffusivities of a loess sample by empirical formulas. A scatter plot reveals that D fits to a single power function of L, providing that microscale diffusivities are assigned to L = 1 m and that differences in diffusivity observed between micro- and megascales are assigned to medium heterogeneity appraised by variations in the curvature and slope of natural hydraulic head waves propagating through the aquifer. Subsequently, a general power relationship between D and L is defined where the base and exponent terms stand for the aquifer storage capability under a confined regime of flow, for the microscale hydraulic conductivity and specific yield of loess, and for the changes in curvature and slope of hydraulic head waves relative to values defined at unit scale.[GRAPHICS]Editor Z.W. Kundzewicz

Modeling of hydraulic and energy efficiency indicators for water supply systems

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The relationship between macroalgal morphological complexity and hydraulic conditions in stream habitats

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Learning kernels for support vector machines with polynomial powers of sigmoid

In the pattern recognition research field, Support Vector Machines (SVM) have been an effectiveness tool for classification purposes, being successively employed in many applications. The SVM input data is transformed into a high dimensional space using some kernel functions where linear separation is more likely. However, there are some computational drawbacks associated to SVM. One of them is the computational burden required to find out the more adequate parameters for the kernel mapping considering each non-linearly separable input data space, which reflects the performance of SVM. This paper introduces the Polynomial Powers of Sigmoid for SVM kernel mapping, and it shows their advantages over well-known kernel functions using real and synthetic datasets.

Instantaneous complex power applied to three-phase machines

The theory presented in this paper was primarily developed to give a physical interpretation for the instantaneous power flow on a three-phase induction machine, without a neutral conductor, on any operational state and may be extended to any three-phase load. It is a vectorial interpretation of the instantaneous reactive power theory presented by Akagi et al. Which, believe the authors, isn't enough developed and its physical meaning not yet completely understood. This vectorial interpretation is based on the instantaneous complex power concept defined by Torrens for single-phase, ac, steady-state circuits, and leads to a better understanding of the power phenomenon, particularly of the distortion power. This concept has been extended by the authors to three-phase systems, through the utilization of the instantaneous space vectors. The results of measurements of instantaneous complex power on a self-excited induction generator's terminals, during an over-load application transient, are presented for illustration. The compensation of reactive power proposed by Akagi is discussed and a new horizon for the theory application is opened.

Single puncture for TMJ arthrocentesis: an effective technique for hydraulic distention of the superior joint space

Temporomandibular joint arthrocentesis is a method of flushing out the synovial fluid that is currently performed by providing a double puncture to the upper joint space. The traditional 2-needle technique has some restrictions, such as the difficulty in performing it in the presence of intra-articular adherences and in the female patients, because the space is very small. The adoption of a single-needle for fluid injection might have some advantages with respect to the traditional 2-needle approach in terms of easily, time of execution and tolerability. We describe a single needle technique and we recommend the use.

Deformações elásticas e áreas de contato de pneus agrícolas e florestais utilizando prensa hidráulica em superfície rígida

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Expert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentation

This paper refers to the design of an expert system that captures a waveform through the use of an accelerometer, processes the signal and converts it to the frequency domain using a Fast Fourier Transformer to then, using artificial intelligence techniques, specifically Fuzzy Reasoning, it determines if there is any failure present in the underlying mode of the equipment, such as imbalance, misalignment or bearing defects.

Hybrid methods for lot sizing on parallel machines

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

Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)