User-friendly free-text keystroke dynamics authentication for practical applications

This paper introduces a novel approach for free-text keystroke dynamics authentication which incorporates the use of the keyboard’s key-layout. The method extracts timing features from specific key-pairs. The Euclidean distance is then utilized to find the level of similarity between a user’s profile data and his/her test data. The results obtained from this method are reasonable for free-text authentication while maintaining the maximum level of user relaxation. Moreover, it has been proven in this study that flight time yields better authentication results when compared with dwell time. In particular, the results were obtained with only one training sample for the purpose of practicality and ease of real life application.

Nonlinear identification using orthogonal forward regression with nested optimal regularization

An efficient data based-modeling algorithm for nonlinear system identification is introduced for radial basis function (RBF) neural networks with the aim of maximizing generalization capability based on the concept of leave-one-out (LOO) cross validation. Each of the RBF kernels has its own kernel width parameter and the basic idea is to optimize the multiple pairs of regularization parameters and kernel widths, each of which is associated with a kernel, one at a time within the orthogonal forward regression (OFR) procedure. Thus, each OFR step consists of one model term selection based on the LOO mean square error (LOOMSE), followed by the optimization of the associated kernel width and regularization parameter, also based on the LOOMSE. Since like our previous state-of-the-art local regularization assisted orthogonal least squares (LROLS) algorithm, the same LOOMSE is adopted for model selection, our proposed new OFR algorithm is also capable of producing a very sparse RBF model with excellent generalization performance. Unlike our previous LROLS algorithm which requires an additional iterative loop to optimize the regularization parameters as well as an additional procedure to optimize the kernel width, the proposed new OFR algorithm optimizes both the kernel widths and regularization parameters within the single OFR procedure, and consequently the required computational complexity is dramatically reduced. Nonlinear system identification examples are included to demonstrate the effectiveness of this new approach in comparison to the well-known approaches of support vector machine and least absolute shrinkage and selection operator as well as the LROLS algorithm.

A fast adaptive tunable RBF network for nonstationary systems

This paper describes a novel on-line learning approach for radial basis function (RBF) neural network. Based on an RBF network with individually tunable nodes and a fixed small model size, the weight vector is adjusted using the multi-innovation recursive least square algorithm on-line. When the residual error of the RBF network becomes large despite of the weight adaptation, an insignificant node with little contribution to the overall system is replaced by a new node. Structural parameters of the new node are optimized by proposed fast algorithms in order to significantly improve the modeling performance. The proposed scheme describes a novel, flexible, and fast way for on-line system identification problems. Simulation results show that the proposed approach can significantly outperform existing ones for nonstationary systems in particular.

Medical image retrieval based on complexity analysis

Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. This paper presents a novel approach for image analysis and retrieval based on complexity analysis. The approach consists of a texture segmentation step, performed by complexity analysis through BoxCounting fractal dimension, followed by the estimation of complexity of each computed region by multiscale fractal dimension. Experiments have been performed with MRI database in both pattern recognition and image retrieval contexts. Results show the accuracy of the method and also indicate how the performance changes as the texture segmentation process is altered.

Expert system to calculate the cofficient of friction : an approach to enhance traffic safety

Friction plays a key role in causing slipperiness as a low coefficient of friction on the road may result in slippery and hazardous conditions. Analyzing the strong relation between friction and accident risk on winter roads is a difficult task. Many weather forecasting organizations use a variety of standard and bespoke methods to predict the coefficient of friction on roads. This article proposes an approach to predict the extent of slipperiness by building and testing an expert system. It estimates the coefficient of friction on winter roads in the province of Dalarna, Sweden using the prevailing weather conditions as a basis. Weather data from the road weather information system, Sweden (RWIS) was used. The focus of the project was to use the expert system as a part of a major project in VITSA, within the domain of intelligent transport systems

Color detection and segmentation for road and traffic signs

This paper aims to present three new methods for color detection and segmentation of road signs. The images are taken by a digital camera mounted in a car. The RGB images are converted into IHLS color space, and new methods are applied to extract the colors of the road signs under consideration. The methods are tested on hundreds of outdoor images in different light conditions, and they show high robustness. This project is part of the research taking place in Dalarna University / Sweden in the field of the ITS.

Análise da viabilidade do sistema de auditorias de obras públicas do Tribunal de Contas do Estado do Rio de Janeiro à luz do modelo de sistema viável

The Brazilian public administration must act with efficiency, developing its activities with readiness and minimizing the use of resources. However, it has not been being able to work with increasing demand in solve complex problems. Tribunal de Contas do Estado do Rio de Janeiro (TCERJ) is the entity responsible for the operational audit of the public institutions of Rio de Janeiro State and its Municipals districts, except for the Capital. It has detected itself that the society demand is superior to its operational capacity of assistance. This dissertation tries to know if the public works audits system adopted by TCERJ could be considered a viable system. Considering that the systems approaches represents the key to work with a reality more and more complex, the Viable System Modelo (VSM) was adopted as reference, having been developed by Stafford Beer with cybernetics basis. Finally, taking VSM as reference in the normative level, it could be affirmed that the studied system is not a viable system to verify that, the studied system is not a viable system yet.

A questão da adaptabilidade profissional frente ao desafio da microinformática

A introdução dos computadores pessoais no ambiente de trabalho provocou uma verdadeira revolução. Como tal, os rumos a serem tomados pelas organizações, tanto na administração de seus negócios, quanto no gerenciamento de seus recursos, nem sempre se mostraram claros. O presente trabalho contempla duas vertentes: a primei~a, prende-se à preocupação com os fundamentos teóricos da Informática, razão pela qual a Cibernética e a Tecnologia da Informação foram estudadas, como forma de se garantir os efeitos desejados da nova tecnologia; a segunda, a preocupação com o elemento humano e suas relações com as tarefas, com o computador, com o mercado de trabalho e suas expectativas. Os dados revelados pela pesquisa de campo realizada pode e deve abrir outras perspectivas de investigação, com o intuito de se maximizar a utilização dos computadores em prol de um aumento da qualidade gerencial das organizações.

Avaliação qualitativa e quantitativa do colágeno total, tipo I e III da linha alba em pacientes portadores de hérnia da parede abdominal anterior

No presente trabalho foram colhidas amostras da aponeurose da linha alba abdominal de 26 pacientes com idades entre 26 e 75 anos, portadores de hérnias da parede abdominal anterior, para avaliação qualitativa e quantitativa do colágeno total, tipo I e III. Oito desses pacientes foram operados no Hospital de Clínicas de Porto Alegre (HCPA), quatro no Hospital Pompéia de Caxias do Sul (HP) e 14 na Clínica Particular do autor (CPA) em Caxias do Sul. Todos os pacientes eram portadores de hérnias da parede abdominal anterior, sendo seis casos de hérnias incisionais, 11 casos de hérnias umbilicais e sete casos de hérnias epigástricas, um caso com duas hérnias: incisional e epigástrica e um outro caso também com duas hérnias, sendo uma epigástrica e outra umbilical. As amostras foram retiradas na linha média da linha alba, três centímetros acima da cicatriz umbilical e outra a dois centímetros abaixo dessa cicatriz. Uma vez no laboratório, as amostras foram subdivididas em duas. Em uma delas realizou-se a avaliação quantitativa do colágeno total e na outra a avaliação qualitativa dos colágenos tipo I e III. A avaliação quantitativa foi realizada por meio da coloração com picrosirius e contagem das fibras colágenas em microscópio de luz polarizada e análise digital por birrefringência, tendo sido utilizado o aplicativo Image Pro Plus (Media Cybernetics, Silver Spring, USA). A avaliação qualitativa foi feita por meio da imuno-histoquímica, com a utilização de anticorpos monoclonais anticolágeno tipo I e III. Os achados obtidos nesses pacientes foram comparados com os achados obtidos em um grupo-controle de cadáveres não formolizados do Instituto Médico Legal de Caxias do Sul. No grupo-controle de cadáveres sem hérnias, foram realizados os mesmos estudos dos pacientes cirúrgicos portadores de hérnias, para avaliar as diferenças das quantidades de colágeno total, tipo I e III entre os dois grupos. Os resultados mostraram que as quantidades de colágeno total eram 18,05% menores nos pacientes com hérnias da parede anterior do abdome, quando comparados com o grupo-controle de cadáveres sem hérnias (p  0,05). Já as quantidades do colágeno tipo I foram 20,50% menores nos pacientes (p  0,05). O mesmo ocorreu com o colágeno tipo III que apresentou uma percentagem 7,3% menor nesses mesmos pacientes (p = 0,383).

Effects of the basic fibroblast growth factor and its anti-factor in the healing and collagen maturation of infected skin wound

PURPOSE: The infection is one of the main factors that affect the physiological evolution of the surgical wounds. The aim of this work is to evaluate the effects of fibroblast growth factor (FGFâ) and anti-FGFâ in the healing, synthesis and maturation of collagen when topically used on infected skin wounds of rats. METHODS: An experimental study was perfomed in 60 male Wistar rats. All animals were divided in two groups (A and B). Each group was divided in three subgroups A1, B1; A2, B2 and A3, B3. After anesthesia with pentobarbital, two open squared wounds (1cm2), 4cm distant to each other, were done in the dorsal skin of all the rats. In group A (n=30) the wounds were contaminated with multibacterial standard solution, and in group B(n=30) the wounds were maintained sterile. These wounds were named F1 (for inflammation analysis) and F2 (for collagen study). The open wounds of A1 and B1 rats were topically treated with saline solution, A2 and B2 were treated with FGFâ and subgroups A3 and B3 were treated with FGFâ and anti-FGFâ. The rats were observed until complete epitelization of F2 wounds for determination of healing time and the expression of types I and III collagen, using Picro Sirius Red staining. Inflammatory reaction in F1 wounds was studied using hematoxilineosin staining. The three variable was measured by the Image Pro-Plus Média Cybernetics software. The statistical analysis was performed by ANOVA and Tukey test, considering p<0.05 as significant. RESULTS: It was observed that infection retarded significantly (p<0.05) the time of wound scarring and the topical application of FCFb reverted the inhibition of healing caused by bacteria. The inflammatory reaction was greater in the subgroup B2 than in B1 and A3, and the difference was significant (p<0.05). It was observed greater expression of type I collagen in all the subgroups treated with FCFb, when compared with the untreated subgroups. Type III collagen was significantly decreased in wounds of B3 rats, comparing to the other subgroups. CONCLUSIONS: The FCFb accelerated the healing of open infected wounds and contributed with maturation of collagen, enhancing the type I collagen density. The anti-FCFb antibody was able to attenuate the production of both type I and III collagen

Fé & Cia. LTDA: consumo religioso na sociedade contemporânea

The present work is an exercise of analysis from the cultural exercises related to movie high one of its raised status more with the deity, the human being surrenders it Religion leaving puzzleds the prophets of its end. The purpose of this work is to show that the religious phenomenon is one of the essential components of the socialization human being. The religious dimension, although to have been kept out of society in modernity - it was cybernetics, is an indispensable compassing to guide the human being in the discovery of its true existencial direction. For this, to attenuate the legacy without appropriate title, overwhelming and despairing of the producing and consumer goods society, it is indispensable to add as basic part to the practical one of the religion. And this practice is specify at the acquirement as of commodities objects , than it is to they are consecrate, exercising um magical power under the assistants from the religion. The fair religious Expo Religious, like the Expo Crest (fair as of commodities and service of the Evangelist) and the one Expo Catholic (fair as of commodities and service of the Catholics), appears at the I initiate from the century 21 at the association Brazilian about to cater the litigation of the market religious at every their segments. The and objective of this research is bring forward those two fairs in the format as of Expo and your contribution at the dynamic from the religion crest at the association he acts

A novel neural model to electrical load forecasting in transformers

The paper describes a novel neural model to electrical load forecasting in transformers. The network acts as identifier of structural features to forecast process. So that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through load data extracted from a Brazilian Electric Utility taking into account time, current, tension, active power in the three phases of the system. The results obtained in the simulations show that the developed technique can be used as an alternative tool to become more appropriate for planning of electric power systems.

A neural system to robust Nonlinear optimization subject to disjoint and constrained sets

The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel method using artificial neural networks to solve robust parameter estimation problems for nonlinear models with unknown-but-bounded errors and uncertainties. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach.

A planar flexible robotic manipulator

Presents the dynamic modelling of a flexible robotic manipulator with two flexible links and two revolute joints, which rotates in the horizontal plane. The dynamic equations are derived using the Newton-Euler formulation and the finite element method, based on elementary beam theory, which is used to discretize the displacements such that the small motion is represented in terms of nodal displacements. Computer simulation results are presented to illustrate this study. The dynamic model becomes necessary for use in future design and control applications.