Rejeição e voto em eleição contemporânea: um estudo de caso da eleição à prefeitura do município de Natal/RN (2012)

Given the importance that political science and social sciences give studies of voting behavior, this study sought to fill this academic discussion another important element that makes up this complex set. From the campaign trail to City Christmas in 2012 work has been undertaken analysis of rejection in the first and second rounds of this election. For this analysis we used two sources of data: quantitative research, conducted by Search Consult the first and second rounds of elections, and the use of focus group technique, performed in the second round of elections. Knowing the various factors that may affect the voting decision, but also the dynamism that pervades a political dispute, seek, with this work, contribute to the deepening of the rejection of studies, aiming to bring subsidies presenting information to better explain the behavior studies election. The results showed that there is a less expressive, the chamda strong rejection. We speak of that rejection based on a political, historical and ideological. The reason for the weak presence of strong rejection seems to be little involvement of voters with politics and, consequently, low knowledge about politics and politicians. We observe, however, evidence of rejection volatile. We refer here to a kind of rejection that develops during the election process depending on the preference of the voter and according to the circumstances of the campaign. The data also lead us to conclude that television is as an instrument for the dissemination of ideas that can contribute in shaping the opinion of viewers. The role of political parties in representing the interests of the people have lost their strength in recent years. The data also show that, to the extent that increases the preference of voters in the electoral process, also increases its rejection

Análise de aspectos ergonômicos do colete tático - um estudo de caso na ROCAM-RN

This thesis aims to analyze the ergonomic and functional aspects of the motorcycle patrolmen tactical vest and make a contribution to improve their technical and tactical characteristics reconciling pleasantness function, improving working conditions of policeman. The start point of this case study was the following hypothesis : The start point of this case study was the following hypothesis: once the policemen prepare their own tactical vests with layouts created by them. So, if someone observes these layouts, s/he will have an understanding of use of those devices and artifacts questions both positive, and negative. This hypothesis was confirmed by the results, considering that it was possible to understand the use of the tactic vests by means of the Policemen s opinion on issues recognized by themselves. It was also possible to understand that users perform interventions, based on their own inventive or learned from the experience of other policemen

A moralidade e a vida pregressa do candidato como condição autônoma de elegibilidade

The objective of this work was about fixing the free will paradigm as negative evaluation of political rights which presents a new classification dde such rights, producing species: a) conditions of eligibility autonomous (free will), b) eligibility requirements heteronomous (will third party) and c) ineligibility (court decisions / administrative). This morality and life history as a condition of eligibility unattended, making a hermeneutic analysis of art. 14, § 9 of the Constitution, considering the justification of the views of the voting Minister Carlos Ayres Brito Appeal in Ordinary No 1069/2006 of the Supreme Electoral Tribunal (where Eurico Miranda). Are fixed concepts of morality and life history from the perspective of the moral act freely and consciously. Has resulted in the identification of the moral virtues of honesty and integrity, which are voluntary acts as a reference to morality and integrity respectively. Justifies the morality and life history as a condition of eligibility unattended. who depend exclusively on the willingness of the candidate. It is noteworthy that the conditions for eligibility as a factual finding does not violate the law and does not allow punitive sanctions or setting a deadline in case of refusal to register the application. Attributed to political parties to take responsibility in their statutes moral criteria for the nomination convention in pre candidates, giving an ethical dimension. Analyzes the law under the Clean Record of morality and life history of the candidate and the possible impact on the electoral context.

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated

Uma Análise de métodos de distriubuição de atributos em comitês de classificadores

The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles

Comitês de grupamento aplicados a dados de expressão gênica

The main goal of this work is to investigate the suitability of applying cluster ensemble techniques (ensembles or committees) to gene expression data. More specifically, we will develop experiments with three diferent cluster ensembles methods, which have been used in many works in literature: coassociation matrix, relabeling and voting, and ensembles based on graph partitioning. The inputs for these methods will be the partitions generated by three clustering algorithms, representing diferent paradigms: kmeans, ExpectationMaximization (EM), and hierarchical method with average linkage. These algorithms have been widely applied to gene expression data. In general, the results obtained with our experiments indicate that the cluster ensemble methods present a better performance when compared to the individual techniques. This happens mainly for the heterogeneous ensembles, that is, ensembles built with base partitions generated with diferent clustering algorithms

A moralidade e a vida pregressa do candidato como condição autônoma de elegibilidade

The objective of this work was about fixing the free will paradigm as negative evaluation of political rights which presents a new classification dde such rights, producing species: a) conditions of eligibility autonomous (free will), b) eligibility requirements heteronomous (will third party) and c) ineligibility (court decisions / administrative). This morality and life history as a condition of eligibility unattended, making a hermeneutic analysis of art. 14, § 9 of the Constitution, considering the justification of the views of the voting Minister Carlos Ayres Brito Appeal in Ordinary No 1069/2006 of the Supreme Electoral Tribunal (where Eurico Miranda). Are fixed concepts of morality and life history from the perspective of the moral act freely and consciously. Has resulted in the identification of the moral virtues of honesty and integrity, which are voluntary acts as a reference to morality and integrity respectively. Justifies the morality and life history as a condition of eligibility unattended. who depend exclusively on the willingness of the candidate. It is noteworthy that the conditions for eligibility as a factual finding does not violate the law and does not allow punitive sanctions or setting a deadline in case of refusal to register the application. Attributed to political parties to take responsibility in their statutes moral criteria for the nomination convention in pre candidates, giving an ethical dimension. Analyzes the law under the Clean Record of morality and life history of the candidate and the possible impact on the electoral context

Representation and analysis of soccer players' actions using principal components

This paper proposes the use of the Principal Components Analysis (PCA) method to represent and to analyse soccer players' actions distribution in the pitch. The seven games of the Brazilian National Team during the 2002 World Cup were analysed. The player's position actions were measured from videotapes in a computer interface. The results were: a) the graphical representation, given by two orthogonal segments in the two directions of maximal variability and centred at the mean of each player's actions position; b) the eccentricity measurement, given by the variability ratio and c) the actions zone area, given by variability product. The results showed that the individual characteristics of acting were well represented by the PCA, allowing comparisons among games and providing insights related to the tactical organisation of the team.

Shape-based features for cat ganglion retinal cells classification

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward's hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.

Limitations of trust management schemes in VANET and countermeasures

Vehicular networks ensure that the information received from any vehicle is promptly and correctly propagated to nearby vehicles, to prevent accidents. A crucial point is how to trust the information transmitted, when the neighboring vehicles are rapidly changing and moving in and out of range. Current trust management schemes for vehicular networks establish trust by voting on the decision received by several nodes, which might not be required for practical scenarios. It might just be enough to check the validity of incoming information. Due to the ephemeral nature of vehicular networks, reputation schemes for mobile ad hoc networks (MANETs) cannot be applied to vehicular ad hoc networks (VANET). We point out several limitations of trust management schemes for VANET. In particular, we identify the problem of information cascading and oversampling, which commonly arise in social networks. Oversampling is a situation in which a node observing two or more nodes, takes into consideration both their opinions equally without knowing that they might have influenced each other in decision making. We show that simple voting for decision making, leads to oversampling and gives incorrect results. We propose an algorithm to overcome this problem in VANET. This is the first paper which discusses the concept of cascading effect and oversampling effects to ad hoc networks. © 2011 IEEE.

On data-centric misbehavior detection in VANETs

Detecting misbehavior (such as transmissions of false information) in vehicular ad hoc networks (VANETs) is a very important problem with wide range of implications, including safety related and congestion avoidance applications. We discuss several limitations of existing misbehavior detection schemes (MDS) designed for VANETs. Most MDS are concerned with detection of malicious nodes. In most situations, vehicles would send wrong information because of selfish reasons of their owners, e.g. for gaining access to a particular lane. It is therefore more important to detect false information than to identify misbehaving nodes. We introduce the concept of data-centric misbehavior detection and propose algorithms which detect false alert messages and misbehaving nodes by observing their actions after sending out the alert messages. With the data-centric MDS, each node can decide whether an information received is correct or false. The decision is based on the consistency of recent messages and new alerts with reported and estimated vehicle positions. No voting or majority decisions is needed, making our MDS resilient to Sybil attacks. After misbehavior is detected, we do not revoke all the secret credentials of misbehaving nodes, as done in most schemes. Instead, we impose fines on misbehaving nodes (administered by the certification authority), discouraging them to act selfishly. This reduces the computation and communication costs involved in revoking all the secret credentials of misbehaving nodes. © 2011 IEEE.

A social network approach to trust management in VANETs

In the past few years, vehicular ad hoc networks(VANETs) was studied extensively by researchers. VANETs is a type of P2P network, though it has some distinct characters (fast moving, short lived connection etc.). In this paper, we present several limitations of current trust management schemes in VANETs and propose ways to counter them. We first review several trust management techniques in VANETs and argue that the ephemeral nature of VANETs render them useless in practical situations. We identify that the problem of information cascading and oversampling, which commonly arise in social networks, also adversely affects trust management schemes in VANETs. To the best of our knowledge, we are the first to introduce information cascading and oversampling to VANETs. We show that simple voting for decision making leads to oversampling and gives incorrect results in VANETs. To overcome this problem, we propose a novel voting scheme. In our scheme, each vehicle has different voting weight according to its distance from the event. The vehicle which is more closer to the event possesses higher weight. Simulations show that our proposed algorithm performs better than simple voting, increasing the correctness of voting. © 2012 Springer Science + Business Media, LLC.

Perfil antropométrico e fisiológico de atletas de futsal da categoria sub-20 e adulta

The aim of this study was to determine the anthropometrical and physiological profile of futsal players and compare between under-20 and adults categories. Twenty four male athletes futsal participated in the study. They played in two teams of futsal-level state: a team with players under-20 (12 athletes); and another with players of the adults category (12 athletes). The participants performed a routine assessment involving anthropometric measurements (body mass, size, thickness of skin folds, perimeter body and bone diameter) and tests to estimate the aerobic and anaerobic capacity. The results did not indicate differences in relation to the anthropometrical and physiological profile between the under-20 and adults categories. We concluded that the promotion of athletes from the under-20 category for the adult's category taking into account the anthropometrical profile and aerobic and anaerobic performance indicators is recommended. However, other indicators, such as the technical, tactical and psychological aspects are important to help in understanding this promotion phase and in the training. © FTCD/FIP-MOC.

Deputados estaduais e democracia: Valores políticos das elites parlamentares paulista e paranaense

After 20 years of reestablished democracy in Brazil, what do the state legislators think about the regime? The goal of the article is to show the views of state legislators of the Legislative Assemblies of the States of São Paulo and Paraná on democracy. For the views we use a structured and self-administered questionnaire. The results show that for the state legislators: i) democracy is stable, ii) it is superior to any other kind of regime, iii) it's support comes from some public policy and the use of voting and iv) parties and elections are important for democracy.

Visualização de Afinidades Entre Parlamentares Mediante Dados de Votações no Senado Brasileiro

The expansion of citizen participation in the public sphere depends directly of access information on the performance of elected representatives, especially with regard to their voting decisions during their terms. The Information Science can assist in this process, proposing and evaluating models of access to such information that may be obtained from data to be provided by the official websites from legislative, in levels federal, state and municipal. It is proposed in this paper to analyze the process of collecting and using of data about votes of senators in order to promote the use of this model in other spheres. From analyzed data a affinity matrix was developed to identifying the relationship between each of the parliamentary with others, based on the similarities of the decisions taken in all the open votes. It was also analyzed the development of initial visualizations and the extension of the scope of the search through the application of data obtained in all the affinities between parliamentarians and to obtain an average affinity between parties, enabling new dimensions of analysis to the data collected. The preparation of the full matrix of relations of affinity among parliamentarians can provide a new horizon of possibilities for developing new forms of visualization and analysis, increasing the visibility of parliamentary actions with society.