IPod System Usability: An Application of the Fuzzy Logic

In order for the initial result of this research to be obtained scientifically, a decision was made on setting the limits of the universe of users to be studied. For this end, the research was centered on the users of a Rio de Janeiro, Brazil, college and the EXCEL and MATLAB software were used. The Fuzzy Logic was employed to assess IPod usability. The methodology presented here by is unprecedented and was developed by a 25-student study group of the above-mentioned college in their research

An application for efficient telecommunication networks provisioning using linear programming

This paper presents a practical proposition for the application of the Linear Programming quantitative method in order to assist planning and control of customer circuit delivery activities in telecommunications companies working with the corporative market. Based upon data provided for by a telecom company operating in Brazil, the Linear Programming method was employed for one of the classical problems of determining the optimum mix of production quantities for a set of five products of that company: Private Telephone Network, Internet Network, Intranet Network, Low Speed Data Network, and High Speed Data Network, in face of several limitations of the productive resources, seeking to maximize the company’s monthly revenue. By fitting the production data available into a primary model, observation was made as to what number of monthly activations for each product would be mostly optimized in order to achieve maximum revenues in the company. The final delivery of a complete network was not observed but the delivery of the circuits that make it up, and this was a limiting factor for the study herein, which, however, brings an innovative proposition for the planning of private telecommunications network provisioning

A fuzzy logic application in virtual education

Traditionally, the teaching and learning process uses the problems resolving for fixing, transmitting and evaluating concepts and knowledge about a subject. Learning is the process of acquiring relative permanent changes in understanding, attitude, knowledge, information, capacity and ability through experience. A change can be decided or involuntary, to better or worsen learning. The learning process is an internal cognitive event. To help this teaching and learning process, it is important the use of a computer tool able to stimulate these changes. Also, it is important that it can function as validation and helping tool to the student. These functions are performed by computer systems called Intelligent Tutoring Systems. This paper describes the use of artificial intelligence techniques as a teaching support tool. Using Intelligent Tutoring Systems e fuzzy logic, this work shows, throgh eletronic ways, teaching will be more efficient and more adapted to students necessities, in group or individually

Box & Jenkins Model Identification:A Comparison of Methodologies

This paper focuses on a presentation of a comparison of a neuro-fuzzy back propagation network and Forecast automatic model Identification to identify automatically Box & Jenkins non seasonal models.Recently some combinations of neural networks and fuzzy logic technologies have being used to deal with uncertain and subjective problems. It is concluded on the basis of the obtained results that this type of approach is very powerful to be used

Estimation of the Informal Economy: An Application of Fuzzy Sets

Data on “Informal Economy” magnitudes are relevant for the establishment of adequate micro and macro economics but, there are very few indicators in this respect. The goal of this paper is to generate a temporal series that would describe the informal economy in Brazil. For this purpose fuzzy logic was used. The input variables were a degree of economic opening as well as the tax load rate in relation to GNP (Grow National Product)

Fuzzy Firewalls

This paper presents a fuzzy control approach for improving present firewall architectures. Taking into account not only network packets contents and connection status information to take filtering decisions, it’s possible to makefirewall behavior adaptive and to use it to increase operating systems’ immunity to attack

Garch model indentification using neural network

GARCH models are being largely used to estimate the volatility offinancial assets, and GARCH(1,1) is the one most used. However, identificationof GARCH models is not fully explored. Some specialist systems technology havebeen used in some applications of time series models such as time seriesclassification problems, ARMA models identification, as well as SARIMA. The aim of this paper is to develop an intelligent system that can accurately identifythe specification of GARCH models providing the right choice of the model to beused, thus avoiding the indiscriminate usage of GARCH(1,1) model

Uso de Recibos de Ações nos Estados Unidos (ADRs) para Arbitragem

A eficiência de mercado é muito questionada por especialistas, alguns trabalhos sugerem oportunidades de arbitragem em diversas operações financeiras. Essas oportunidades podem ser explicadas principalmente pela assimetria de informação, pois a formação de preços no mercado acionário está diretamente ligada as informações, portanto o investidor que as possuir com mais rapidez, possui uma vantagem competitiva. O objetivo desse artigo é verificar a existência de oportunidades de arbitragem utilizando os Recibos de Ações nos Estados Unidos (ADRs –American Depositary Receipts), negociadas no mercado americano, e suas respectivas ações, negociadas no mercado nacional. Através do estudo de caso realizado com quatro empresas, desconsiderando os custos de transição, foram encontradas janelas de oportunidades para arbitragem. Dentre as empresas estudadas, duas apresentaram oportunidades freqüentes de arbitragem, sendo que uma delas a oportunidade de arbitragem pode ser modelada por modelo de série temporal

ANÁLISE DA PARTICIPAÇÃO DE AÇÕES SMALL CAPS EM FUNDOS DE INVESTIMENTO EM AÇÕES: uma análise quantitativa por método cluster-ward e por correlação entre fatores relevantes

Realizou-se uma análise quantitativa dos fundos de investimento em ações quanto à participação de ações Small Caps em seu portfólio com o objetivo de verificar se havia fundos que possuíam quantias significativas desse ativo sem a adequada menção na denominação do fundo. Para tal, considerou-se apenas fundos de investimento em ações sem o termo “smal caps” em sua denominação, e destes excluiu-se os fundos exclusivos e os fundos de investimento em ações com menos de 2000 cotistas. O resultado foi analisado quanto à frequência de ocorrências, quanto à possíveis correlações entre os fatores analisados e por meio do método cluster k-means possibilitando a categorização de grupos com perfis preponderantes e uma análise sobre o grau de exposição de risco dos acionistas dos fundos analisados.Aspectos regulatórios foram considerados na análise