Analysis of diametrical wear of grinding wheel and roundness errors in the machining of steel VC 131

Due to the high industrial competitiveness, the rigorous laws of environmental protection, the necessary reduction of costs, the mechanical industry sees itself forced to worry more and more with the refinement of your processes and products. In this context, can be mentioned the need to eliminate the roundness errors that appear after the grinding process. This work has the objective of verifying if optimized nozzles for the application of cutting fluid in the grinding process can minimize the formation of the roundness errors and the diametrical wear of grinding wheel in the machining of the steel VC 131 with 60 HRc, when compared to the conventional nozzles. These nozzles were analyzed using two types of grinding wheels and two different cutting fluids. Was verified that the nozzle of 3mm of diameter, integral oil and the CBN grinding wheel, were the best options to obtain smaller roundness errors and the lowest diametrical wears of grinding wheels.

Using cubic splines to mitigate systematic errors in GPS relative positioning

Systematic errors can have a significant effect on GPS observable. In medium and long baselines the major systematic error source are the ionosphere and troposphere refraction and the GPS satellites orbit errors. But, in short baselines, the multipath is more relevant. These errors degrade the accuracy of the positioning accomplished by GPS. So, this is a critical problem for high precision GPS positioning applications. Recently, a method has been suggested to mitigate these errors: the semiparametric model and the penalised least squares technique. It uses a natural cubic spline to model the errors as a function which varies smoothly in time. The systematic errors functions, ambiguities and station coordinates, are estimated simultaneously. As a result, the ambiguities and the station coordinates are estimated with better reliability and accuracy than the conventional least square method.

Mitigating systematic errors for single frequency GPS receivers employing a penalized least squares methodology

Among the positioning systems that compose GNSS (Global Navigation Satellite System), GPS has the capability of providing low, medium and high precision positioning data. However, GPS observables may be subject to many different types of errors. These systematic errors can degrade the accuracy of the positioning provided by GPS. These errors are mainly related to GPS satellite orbits, multipath, and atmospheric effects. In order to mitigate these errors, a semiparametric model and the penalized least squares technique were employed in this study. This is similar to changing the stochastical model, in which error functions are incorporated and the results are similar to those in which the functional model is changed instead. Using this method, it was shown that ambiguities and the estimation of station coordinates were more reliable and accurate than when employing a conventional least squares methodology.

Modifying the stochastic model to mitigate GPS systematic errors in relative positioning

The GPS observables are subject to several errors. Among them, the systematic ones have great impact, because they degrade the accuracy of the accomplished positioning. These errors are those related, mainly, to GPS satellites orbits, multipath and atmospheric effects. Lately, a method has been suggested to mitigate these errors: the semiparametric model and the penalised least squares technique (PLS). In this method, the errors are modeled as functions varying smoothly in time. It is like to change the stochastic model, in which the errors functions are incorporated, the results obtained are similar to those in which the functional model is changed. As a result, the ambiguities and the station coordinates are estimated with better reliability and accuracy than the conventional least square method (CLS). In general, the solution requires a shorter data interval, minimizing costs. The method performance was analyzed in two experiments, using data from single frequency receivers. The first one was accomplished with a short baseline, where the main error was the multipath. In the second experiment, a baseline of 102 km was used. In this case, the predominant errors were due to the ionosphere and troposphere refraction. In the first experiment, using 5 minutes of data collection, the largest coordinates discrepancies in relation to the ground truth reached 1.6 cm and 3.3 cm in h coordinate for PLS and the CLS, respectively, in the second one, also using 5 minutes of data, the discrepancies were 27 cm in h for the PLS and 175 cm in h for the CLS. In these tests, it was also possible to verify a considerable improvement in the ambiguities resolution using the PLS in relation to the CLS, with a reduced data collection time interval. © Springer-Verlag Berlin Heidelberg 2007.

Conservative management of severe intrusion in a primary tooth: A 4-year follow-up

The purpose of this report was to describe the case of an 18-month-old boy who was referred to the pediatric clinic of the School of Dentistry of Araçatuba, São Paulo State University, Araçatuba, São Paulo, Brazil, 3 days after sustaining severe trauma that led to the complete intrusion of the primary maxillary right lateral incisor, a crown fracture of the primary maxillary right central incisor without pulp involvement, and disruption of the superior labial frenum. Four months later, spontaneous re-eruption was observed in the intruded tooth and no endodontic intervention was necessary in either traumatized teeth. Four years after the trauma, a morphological change in the germ of the permanent successor was noted. Clinical follow-up and periodic radiographies are necessary after traumatic intrusion of primary teeth to monitor possible sequelae in the permanent successors.

Modeling approach based on experimental results for prediction of measurement errors in energy meters

This paper presents a general modeling approach to investigate and to predict measurement errors in active energy meters both induction and electronic types. The measurement error modeling is based on Generalized Additive Model (GAM), Ridge Regression method and experimental results of meter provided by a measurement system. The measurement system provides a database of 26 pairs of test waveforms captured in a real electrical distribution system, with different load characteristics (industrial, commercial, agricultural, and residential), covering different harmonic distortions, and balanced and unbalanced voltage conditions. In order to illustrate the proposed approach, the measurement error models are discussed and several results, which are derived from experimental tests, are presented in the form of three-dimensional graphs, and generalized as error equations. © 2009 IEEE.

Statistical model applied to NetFlow for network intrusion detection

The computers and network services became presence guaranteed in several places. These characteristics resulted in the growth of illicit events and therefore the computers and networks security has become an essential point in any computing environment. Many methodologies were created to identify these events; however, with increasing of users and services on the Internet, many difficulties are found in trying to monitor a large network environment. This paper proposes a methodology for events detection in large-scale networks. The proposal approaches the anomaly detection using the NetFlow protocol, statistical methods and monitoring the environment in a best time for the application. © 2010 Springer-Verlag Berlin Heidelberg.

Intrusion detection system using optimum-path forest

Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. Neural networks and Support Vector Machines have been also extensively applied to this task. However, their complexity to learn new attacks has become very expensive, making them inviable for a real time retraining. In this research, we introduce a new pattern classifier named Optimum-Path Forest (OPF) to this task, which has demonstrated to be similar to the state-of-the-art pattern recognition techniques, but extremely more efficient for training patterns. Experiments on public datasets showed that OPF classifier may be a suitable tool to detect intrusions on computer networks, as well as allow the algorithm to learn new attacks faster than the other techniques. © 2011 IEEE.

Performance evaluation of the fuzzy ARTMAP for network intrusion detection

Recently, considerable research work have been conducted towards finding fast and accurate pattern classifiers for training Intrusion Detection Systems (IDSs). This paper proposes using the so called Fuzzy ARTMAT classifier to detect intrusions in computer network. Our investigation shows, through simulations, how efficient such a classifier can be when used as the learning mechanism of a typical IDS. The promising evaluation results in terms of both detection accuracy and training duration indicate that the Fuzzy ARTMAP is indeed viable for this sort of application.

Boosting optimum-path forest clustering through harmony Search and its applications for intrusion detection in computer networks

In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown that the proposed algorithm can achieve similar parameters' values compared to the exhaustive search. Although, the proposed technique is faster than the traditional one, being interesting for intrusion detection in large scale traffic networks. © 2012 IEEE.

Intrusion detection in computer networks using optimum-path forest clustering

Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling is very expensive, several works attempt to handle intrusion detection with traditional clustering algorithms. In this paper, we introduce a new pattern recognition technique called Optimum-Path Forest (OPF) clustering to this task. Experiments on three public datasets have showed that OPF classifier may be a suitable tool to detect intrusions on computer networks, since it outperformed some state-of-the-art unsupervised techniques. © 2012 IEEE.

Nonlinear control system applied to atomic force microscope including parametric errors

The performance of the optimal linear feedback control and of the state-dependent Riccati equation control techniques applied to control and to suppress the chaotic motion in the atomic force microscope are analyzed. In addition, the sensitivity of each control technique regarding to parametric uncertainties are considered. Simulation results show the advantages and disadvantages of each technique. © 2013 Brazilian Society for Automatics - SBA.

Estudos isotópicos (Pb, O, H, S) em zonas alteradas e mineralizadas do depósito cupro-aurífero Visconde, Província Mineral de Carajás

O depósito cupro-aurífero Visconde está localizado na Província Mineral de Carajás, a cerca de 15 km a leste do depósito congênere de classe mundial Sossego. Encontra-se em uma zona de cisalhamento de direção WNW-ESE, que marca o contato das rochas metavulcanossedimentares da Bacia Carajás com o embasamento. Nessa zona ocorrem outros depósitos hidrotermais cupro-auríferos com características similares (Alvo 118, Cristalino, Jatobá, Bacaba, Bacuri, Castanha), que têm sido enquadrados na classe IOCG (Iron Oxide Copper-Gold), embora muitas dúvidas ainda existam quanto a sua gênese, principalmente no que diz respeito à idade da mineralização e fontes dos fluidos, ligantes e metais. O depósito Visconde está hospedado em rochas arqueanas variavelmente cisalhadas e alteradas hidrotermalmente, as principais sendo metavulcânicas félsicas (2968 ± 15 Ma), o Granito Serra Dourada (2860 ± 22 Ma) e gabros/dioritos. Elas registram diversos tipos de alteração hidrotermal com forte controle estrutural, destacando-se as alterações sódica (albita + escapolita) e sódico-cálcica (albita + actinolita ± turmalina ± quartzo ± magnetita ± escapolita), mais precoces, que promoveram a substituição ubíqua de minerais primários das rochas e a disseminação de calcopirita, pirita, molibdenita e pentlandita. Dados isotópicos de oxigênio e hidrogênio de minerais representativos desses tipos de alteração mostram que os fluidos hidrotermais foram quentes (410 – 355°C) e ricos em ¹⁸O (δ¹⁸O_H2O= +4,2 a 9,4‰). Sobreveio a alteração potássica, caracterizada pela intensa biotitização das rochas, a qual ocorreu concomitantemente ao desenvolvimento de foliação milonítica, notavelmente desenhada pela orientação de palhetas de biotita, que precipitaram de fluidos com assinatura isotópica de oxigênio similar à dos estágios anteriores (δ¹⁸O_H2O entre +4,8 e +7,2‰, a 355°C). Microclina e alanita são outras fases características desse estágio, além da calcopirita precipitada nos planos da foliação. A temperaturas mais baixas (230 ± 11°C), fluidos empobrecidos em ¹⁸O (δ¹⁸O_H2O = -1,3 a +3,7‰) geraram associações de minerais cálcico-magnesianos (albita + epidoto + clorita ± calcita ± actinolita) que são contemporâneas à mineralização. Valores de δ¹⁸D_H2O e δO_H2O indicam que os fluidos hidrotermais foram inicialmente formados por águas metamórficas e formacionais, a que se misturou alguma água de fonte magmática. Nos estágios tardios, houve considerável influxo de águas superficiais. Diluição e queda da temperatura provocaram a precipitação de abundantes sulfetos (calcopirita ± bornita ± calcocita ± digenita), os quais se concentraram principalmente em brechas tectônicas - os principais corpos de minério - que chegam a conter até cerca de 60% de sulfetos. Veios constituídos por minerais sódico-cálcicos também apresentam comumente sulfetos. A associação de minerais de minério e ganga indica uma assinatura de Cu-Au- Fe-Ni-ETRL-B-P para a mineralização. Os valores de δ³⁴S (-1,2 a +3,4‰) de sulfetos sugerem enxofre de origem magmática (proveniente da exsolução de magmas ou da dissolução de sulfetos das rochas ígneas pré-existentes) e precipitação em condições levemente oxidantes. Datação do minério por lixiviação e dissolução total de Pb em calcopirita forneceu idades de 2736 ± 100 Ma e 2729 ± 150 Ma, que indicam ser a mineralização neoarqueana e, a despeito dos altos erros, permite descartar um evento mineralizador paleoproterozoico. A idade de 2746 ± 7 Ma (MSDW=4,9; evaporação de Pb em zircão), obtida em um corpo granítico não mineralizado (correlacionado à Suíte Planalto) que ocorre na área do depósito, foi interpretada como a idade mínima da mineralização. Assim, a formação do depósito Visconde teria relação com o evento transpressivo ocorrido entre 2,76 e 2,74 Ga, reponsável pela inversão da Bacia Carajás e pela geração de magmatismo granítico nos domínios Carajás e de Transição. Esse evento teria desencadeado reações de devolatilização em rochas do Supergrupo Itacaiúnas, ou mesmo, provocado a expulsão de fluidos conatos salinos aprisionados em seus intertícios. Esses fluidos teriam migrado pelas zonas de cisalhamento e reagido com as rochas (da bacia e do embasamento) pelas quais se movimentaram durante a fase dúctil. As concentrações subeconômicas do depósito Visconde devem ser resultado da ausência de grandes estruturas que teriam favorecido maior influxo de fluidos superficiais, tal como ocorreu na formação dos depósitos Sossego e Alvo 118.

Circulation and salt intrusion in the Piaçaguera Channel, Santos (SP)

A análise de dados termohalinos e correntes medidos em uma estação fixa no Canal de Piaçaguera (Estuário de Santos) no inverno foi feita em termos de condições cíclicas da maré (quadratura e sizígia) e quase-estacionária, com o objetivo de caracterizar a estratificação da massa de água estuarina, sua circulação e transporte de sal forçados pela modulação quinzenal da maré. Foram utilizados métodos clássicos de análise de dados observacionais horários e quase sinóticos e de simulações analíticas de perfis estacionários de salinidade e do componente longitudinal da velocidade. Durante o ciclo de maré de quadratura as velocidades de enchente (v<0) e vazante (v>0) variaram de -0.20 m/s a 0.30 m/s, associadas à pequena variação de salinidade entre a superfície e o fundo (26.4 psu a 30.7 psu). No ciclo de sizígia a velocidade aumentou de -0.40 m/s a 0.45 m/s, mas a estratificação de salinidade permaneceu praticamente a mesma. Os perfis estacionários teóricos de salinidade e de velocidade apresentaram boa concordância (Skill próximo a 1,0) quando comparados aos perfis observacionais. Durante a modulação quinzenal da maré não houve alteração na classificação do canal estuarino (tipo 2a-parcialmente misturado e fracamente estratificado), pois a taxa de aumento da energia potencial não foi suficiente para ocasionar a erosão da haloclina. Esses resultados, associados à alta estabilidade vertical (RiL >20) e ao número de Richardson estuarino (1,6), permitem as seguintes conclusões: i) o mecanismo que forçou a circulação e os processos de mistura foi principalmente o balanço da descarga fluvial com a maré, associado ao componente baroclínico da força de gradiente de pressão; ii) não houve variações nas principais características termohalinas e da circulação devido à modulação quinzenal da maré; e iii) os perfis quase estacionários de salinidade e da velocidade foram adequadamente simulados com um modelo analítico clássico.

Tm-afm nonlinear motion control with robustness analysis to parametric errors in the control signal determination

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)