1000 resultados para Programação orientada a objetos (computação)
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Contribuição para o Estudo da Aprendizagem da Matemática e da Programação em Comunidades Virtuais de Prática com Foco no Uso de Robots como Mediadores da Aprendizagem O propósito deste estudo, desenvolvido no âmbito de um projeto de investigação que envolveu a utilização de robots na aprendizagem colaborativa da Matemática e da Informática através da Web, é analisar e discutir a noção de participação e o processo de construção do conhecimento em comunidades virtuais de prática. O referido projeto foi desenvolvido em três etapas principais. Na primeira, foram selecionadas as ferramentas de comunicação a serem utilizadas. A segunda etapa envolveu a elaboração e contextualização dos problemas-desafio a serem resolvidos pelos grupos virtuais. A terceira e última etapa do projeto compreendeu o registo e a recolha dos dados e informações obtidos nas reuniões virtuais com grupos de alunos do Ensino Secundário e sua posterior análise, utilizando uma abordagem qualitativa de natureza interpretativa, tendo como referencial teórico a teoria da aprendizagem situada de Lave e Wenger e os conceitos subjacentes às comunidades de prática, objetivando com isto melhor compreender os efeitos das tecnologias sobre tais comunidades, bem como as características da aprendizagem realizada em espaços virtuais. A utilização de robots como mediadores da aprendizagem facilitou a exploração de conceitos abstratos fundamentais relativos às áreas da Matemática e da Informática, permitindo com isto que as tarefas de programação necessárias à resolução dos problemas propostos fizessem mais sentido, pelo facto dos resultados obtidos poderem ser concretizados no mundo real.
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Este estudo tem a intenção de descrever, entender e explicar processo deaprendizagem de uma turma de 4º Ano do Ensino Fundamental I, com proposta de utilizar objetos concretos na aprendizagem matemática, no qual procurou desvendar à luz da concepção de inovação de que maneira esses objetos constituem uma instigação à Inovação pedagógica. Mediante aos padrões culturais da turma pretende-se conhecer e verificar o impacto desta proposta, no cotidiano dos alunos, por meiodos saberes de cada um envolvidos. Uma vez que, é visível a complexidade e a desmotivação que o aluno do ensino fundamental I apresenta com a Matemática. A necessidade de tornar a aula mais interessante e motivadora é uma inquietação constante do professor, no qual a dissertação investiga a importância dos objetos concretos, sua funcionalidade e aplicabilidade, de modo que possa facilitar a aprendizagem, bem como, proporcionar subsídios para que o aluno desenvolva estratégias significativas e inovadoras, melhorando assim, a qualidade do aprendizado matemático e seja capaz de criar situações que promovam a curiosidade, a instigação e a busca de resoluções, possibilitando no seu cotidiano empregar o conhecimento científico. O estudo tem como alusão a construção do pensamento crítico dos alunos a partir das concepções trabalhadas na sala de aula. Nessa acepção, a presente investigação insere-se numa abordagem qualitativa, de caráter etnográfico. Desenvolve-se por intermédio da investigadora com a turma, com vista à descrição da realidade estudada, seus padrões culturais e significativos, visando a compreensão do ambiente analisado. Através dos recursos como a observação participante, a entrevista e os documentos foi possível o recolhimento de dados durante a estadia no contexto do estudo. As conclusões desta investigação apontam de certa forma para a interatividade e a compreensão de certos conceitos matemáticos, mas não induz a autonomia dos alunos, o seu projeto de vida, ou seja, não perfigura um desafio à Inovação Pedagógica.
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Dopamine (DA) is known to regulate both sleep and memory formations, while sleep plays a critical role in the consolidation of different types of memories. We believe that pharmacological manipulation of dopaminergic pathways might disrupt the sleep-wake cycle, leading to mnemonic deficits, which can be observed in both behavioral and molecular levels. Therefore, here we investigated how systemic injections of haloperidol (0.3 mg/kg), immediately after training in dark and light periods, affects learning assessed in the novel object preference test (NOPT) in mice. We also investigated the hippocampal levels of the plasticity-related proteins Zif-268, brain-derived neurotrophic factor (BDNF) and phosphorylated Ca2+/calmodulin-dependent protein kinases II (CaMKII-P) in non-exposed (naïve), vehicle-injected controls and haloperidol-treated mice at 3, 6 and 12 hours after training in the light period. Haloperidol administration during the light period led to a subsequent impairment in the NOPT. In contrast, preference was not observed during the dark period neither in mice injected with haloperidol, nor in vehicle-injected animals. A partial increase of CaMKII-P in the hippocampal field CA3 of vehicle-injected mice was detected at 3h. Haloperidol-treated mice showed a significant decrease in the dentate gyrus of CaMKII-P levels at 3, 6 and 12h; of Zif-268 levels at 6h, and of BDNF levels at 12h after training. Since the mnemonic effects of haloperidol were only observed in the light period when animals tend to sleep, we suggest that these effects are related to REM sleep disruption after haloperidol injection
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In this work we developed a computer simulation program for physics porous structures based on programming language C + + using a Geforce 9600 GT with the PhysX chip, originally developed for video games. With this tool, the ability of physical interaction between simulated objects is enlarged, allowing to simulate a porous structure, for example, reservoir rocks and structures with high density. The initial procedure for developing the simulation is the construction of porous cubic structure consisting of spheres with a single size and with varying sizes. In addition, structures can also be simulated with various volume fractions. The results presented are divided into two parts: first, the ball shall be deemed as solid grains, ie the matrix phase represents the porosity, the second, the spheres are considered as pores. In this case the matrix phase represents the solid phase. The simulations in both cases are the same, but the simulated structures are intrinsically different. To validate the results presented by the program, simulations were performed by varying the amount of grain, the grain size distribution and void fraction in the structure. All results showed statistically reliable and consistent with those presented in the literature. The mean values and distributions of stereological parameters measured, such as intercept linear section of perimeter area, sectional area and mean free path are in agreement with the results obtained in the literature for the structures simulated. The results may help the understanding of real structures.
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Through the examination of official indicators, it can be observed that writing is pointed out as one of the main problems concerning formal basic education. However, this teaching-learning object is one of the central objectives at school, having an essential role in different curricular components as well as in the interaction demands required by society. Such paradox indicates, therefore, the relevance of investigations which analyze the intrinsic elements of child development as written text producer. Hence, the main purpose of this research consists of analyzing the treatment given to the types of discourse and the teaching situations in which the written text are produced, concerning Portuguese language didactic material collections approved by Programa Nacional do Livro Didático (PNLD 2010) the Brazilian program of didactic book and worked at elementary school. Such materials correspond to the collections adopted in municipal education system schools from Natal, RN which were below the official education indicator IDEB 2009. Thus, the questions that guide this work are: 1. During writing production lessons, is the diversity of types of discourse effectively worked on didactic collections? 2. Which are the types of discourse and the social spheres prioritized when teaching writing production? 3. How is the situation addressed in the production of the written text should be produced? For this research, we retook the authors Bakhtin, Bunzen, Faraco, Freire, Rodrigues, Rojo, Schneuwly e Dolz and we made a list of all types of discourse and spheres contemplated in the propositions of the writing production in didactical books, concerning the eight collections which compounds the first moment of analysis. Then, we verified how the situation of production is oriented by examining two didactic collections if and how they express the elements referring to the social-historical, functional and linguistic-discursive context of the text to be produced. The data obtained indicate: lack of diversification of types of discourse in the collection that compounds the Aggregate Sample of the research; the conception of a diversity based on the didactic of visiting; the recognition of all canonical and hegemonic types of text as one of the privileged objects of study; the centralization on the standard variety of the language and the devaluation of the representative types of cultural diversity; the shortage of productions which retrace to written language related to different technologies of communication and information; and the little emphasis on the types of discourse related to public language practices. As for the situations of production, it is observed the predominance of the school as a producer of dialogic relationships, whose propositions present, for example, text addressees, enunciative positions, support and contexts of restricted circulation, especially at school. Two divergent situations are observed among the collections: the lack of a work in which the situation of production is under the perspective of the types of discourse as object of teaching-learning; the concept of the types of discourse as object of reflection, presenting a differentiated didactic orientation towards the situation of production. This research contributes, therefore, with a mapping of the existence and the treatment of the types of discourse on propositions of writing production in didactic books; with the critical analysis of the approach of written activities, considering the elements of the historical-social, functional and linguistic-discursive context; thus, through teaching, research and public policies, use and selection of didactic material for the area
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The progresses of the Internet and telecommunications have been changing the concepts of Information Technology IT, especially with regard to outsourcing services, where organizations seek cost-cutting and a better focus on the business. Along with the development of that outsourcing, a new model named Cloud Computing (CC) evolved. It proposes to migrate to the Internet both data processing and information storing. Among the key points of Cloud Computing are included cost-cutting, benefits, risks and the IT paradigms changes. Nonetheless, the adoption of that model brings forth some difficulties to decision-making, by IT managers, mainly with regard to which solutions may go to the cloud, and which service providers are more appropriate to the Organization s reality. The research has as its overall aim to apply the AHP Method (Analytic Hierarchic Process) to decision-making in Cloud Computing. There to, the utilized methodology was the exploratory kind and a study of case applied to a nationwide organization (Federation of Industries of RN). The data collection was performed through two structured questionnaires answered electronically by IT technicians, and the company s Board of Directors. The analysis of the data was carried out in a qualitative and comparative way, and we utilized the software to AHP method called Web-Hipre. The results we obtained found the importance of applying the AHP method in decision-making towards the adoption of Cloud Computing, mainly because on the occasion the research was carried out the studied company already showed interest and necessity in adopting CC, considering the internal problems with infrastructure and availability of information that the company faces nowadays. The organization sought to adopt CC, however, it had doubt regarding the cloud model and which service provider would better meet their real necessities. The application of the AHP, then, worked as a guiding tool to the choice of the best alternative, which points out the Hybrid Cloud as the ideal choice to start off in Cloud Computing. Considering the following aspects: the layer of Infrastructure as a Service IaaS (Processing and Storage) must stay partly on the Public Cloud and partly in the Private Cloud; the layer of Platform as a Service PaaS (Software Developing and Testing) had preference for the Private Cloud, and the layer of Software as a Service - SaaS (Emails/Applications) divided into emails to the Public Cloud and applications to the Private Cloud. The research also identified the important factors to hiring a Cloud Computing provider
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The study aims identify the existence of quality culture in Brazilian automotive dealerships with ISO 9001, motivated by this research problem: exist a quality culture in this dealerships, which facilitates the adoption of quality practices supported by ISO 9001? For referencing, the theoretical review was written in five themes: organizational culture, quality culture, total quality management, ISO 9001 quality management system and the Brazilian automobile industry. As regards the methodological aspects, the research has an applied nature, with a quantitative approach, being exploratory in their objectives, and bibliographic, documental and survey as technical procedures. The organizations participating in the study were all Brazilian automotive dealerships certified with ISO 9001. The research intended cover all the 80 active dealers with ISO 9001 certification identified by the Brazilian Committee for Quality (ABNT CB-25). The survey recorded participation of 32 companies (response rate 40%). The questionnaire was sent to seller managers, formatted into five sections: 1) introductory message 2) manager profile, 3) reasons for implementation and benefits generated by ISO 4) adoption levels of quality practices and 5) diagnosis of organizational culture. The questions contained in sections 2 and 3 were structured in multiple choice, and in the remaining sections were structured in Likert 5-point scale. The statistical method used (data analysis), was the descriptive statistics, for data representation in frequency percentage (FP) and standard level (SL). The results showed that the interviewed dealerships have an organizational culture with very high levels of prevalence in "outcome orientation" and "attention to detail" cultural dimensions. In addition, about the other two dimensions considered conducive to quality (innovation and teamwork/respect for people), both observed high prevalence. Based on the present results, concluded that the organizational culture of Brazilian dealerships with ISO 9001 are quality oriented, being conducive to adoption of quality practices supported by TQM Systems. However, it is important to mention that the quality culture identified is not sufficiently developed to adopt quality practices at optimal levels, which sets up an unfavorable scenario to deals with highly rigorous customer
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This work describes the study and the implementation of the vector speed control for a three-phase Bearingless induction machine with divided winding of 4 poles and 1,1 kW using the neural rotor flux estimation. The vector speed control operates together with the radial positioning controllers and with the winding currents controllers of the stator phases. For the radial positioning, the forces controlled by the internal machine magnetic fields are used. For the radial forces optimization , a special rotor winding with independent circuits which allows a low rotational torque influence was used. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed and radial positioning controllers to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The DSP resources used by the system are: the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system
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In this work, we propose a methodology for teaching robotics in elementary schools, based on the socio-historical Vygotsky theory. This methodology in conjunction with the Lego Mindstoms kit (R) and an educational software (an interface for control and programming of prototypes) are part of an educational robotics system named RoboEduc. For the practical development of this work, we have used the action-research strategy, being realized robotics activities with participation of children with age between 8 and 10 years, students of the elementary school level of Municipal School Ascendino de Almeida. This school is located at the city zone of Pitimbu, at the periphery of Natal, in Rio Grande do Norte state. The activities have focused on understanding the construction of robotic prototypes, their programming and control. At constructing prototypes, children develop zone of proximal development (ZPDs) that are learning spaces that, when well used, allow the construction not only of scientific concepts by the individuals but also of abilities and capabilities that are important for the social and cultural interactiond of each one and of the group. With the development of these practical workshops, it was possible to analyse the use of the Robot as the mediator element of the teaching-learning process and the contributions that the use of robotics may bring to teaching since elementary levels
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Large efforts have been maden by the scientific community on tasks involving locomotion of mobile robots. To execute this kind of task, we must develop to the robot the ability of navigation through the environment in a safe way, that is, without collisions with the objects. In order to perform this, it is necessary to implement strategies that makes possible to detect obstacles. In this work, we deal with this problem by proposing a system that is able to collect sensory information and to estimate the possibility for obstacles to occur in the mobile robot path. Stereo cameras positioned in parallel to each other in a structure coupled to the robot are employed as the main sensory device, making possible the generation of a disparity map. Code optimizations and a strategy for data reduction and abstraction are applied to the images, resulting in a substantial gain in the execution time. This makes possible to the high level decision processes to execute obstacle deviation in real time. This system can be employed in situations where the robot is remotely operated, as well as in situations where it depends only on itself to generate trajectories (the autonomous case)
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This work presents a set of intelligent algorithms with the purpose of correcting calibration errors in sensors and reducting the periodicity of their calibrations. Such algorithms were designed using Artificial Neural Networks due to its great capacity of learning, adaptation and function approximation. Two approaches willbe shown, the firstone uses Multilayer Perceptron Networks to approximate the many shapes of the calibration curve of a sensor which discalibrates in different time points. This approach requires the knowledge of the sensor s functioning time, but this information is not always available. To overcome this need, another approach using Recurrent Neural Networks was proposed. The Recurrent Neural Networks have a great capacity of learning the dynamics of a system to which it was trained, so they can learn the dynamics of a sensor s discalibration. Knowingthe sensor s functioning time or its discalibration dynamics, it is possible to determine how much a sensor is discalibrated and correct its measured value, providing then, a more exact measurement. The algorithms proposed in this work can be implemented in a Foundation Fieldbus industrial network environment, which has a good capacity of device programming through its function blocks, making it possible to have them applied to the measurement process
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This work describes the study and the implementation of the speed control for a three-phase induction motor of 1,1 kW and 4 poles using the neural rotor flux estimation. The vector speed control operates together with the winding currents controller of the stator phasis. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed controls to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The main DSP recources used by the system are, respectively, the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system
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The frequency selective surfaces, or FSS (Frequency Selective Surfaces), are structures consisting of periodic arrays of conductive elements, called patches, which are usually very thin and they are printed on dielectric layers, or by openings perforated on very thin metallic surfaces, for applications in bands of microwave and millimeter waves. These structures are often used in aircraft, missiles, satellites, radomes, antennae reflector, high gain antennas and microwave ovens, for example. The use of these structures has as main objective filter frequency bands that can be broadcast or rejection, depending on the specificity of the required application. In turn, the modern communication systems such as GSM (Global System for Mobile Communications), RFID (Radio Frequency Identification), Bluetooth, Wi-Fi and WiMAX, whose services are highly demanded by society, have required the development of antennas having, as its main features, and low cost profile, and reduced dimensions and weight. In this context, the microstrip antenna is presented as an excellent choice for communications systems today, because (in addition to meeting the requirements mentioned intrinsically) planar structures are easy to manufacture and integration with other components in microwave circuits. Consequently, the analysis and synthesis of these devices mainly, due to the high possibility of shapes, size and frequency of its elements has been carried out by full-wave models, such as the finite element method, the method of moments and finite difference time domain. However, these methods require an accurate despite great computational effort. In this context, computational intelligence (CI) has been used successfully in the design and optimization of microwave planar structures, as an auxiliary tool and very appropriate, given the complexity of the geometry of the antennas and the FSS considered. The computational intelligence is inspired by natural phenomena such as learning, perception and decision, using techniques such as artificial neural networks, fuzzy logic, fractal geometry and evolutionary computation. This work makes a study of application of computational intelligence using meta-heuristics such as genetic algorithms and swarm intelligence optimization of antennas and frequency selective surfaces. Genetic algorithms are computational search methods based on the theory of natural selection proposed by Darwin and genetics used to solve complex problems, eg, problems where the search space grows with the size of the problem. The particle swarm optimization characteristics including the use of intelligence collectively being applied to optimization problems in many areas of research. The main objective of this work is the use of computational intelligence, the analysis and synthesis of antennas and FSS. We considered the structures of a microstrip planar monopole, ring type, and a cross-dipole FSS. We developed algorithms and optimization results obtained for optimized geometries of antennas and FSS considered. To validate results were designed, constructed and measured several prototypes. The measured results showed excellent agreement with the simulated. Moreover, the results obtained in this study were compared to those simulated using a commercial software has been also observed an excellent agreement. Specifically, the efficiency of techniques used were CI evidenced by simulated and measured, aiming at optimizing the bandwidth of an antenna for wideband operation or UWB (Ultra Wideband), using a genetic algorithm and optimizing the bandwidth, by specifying the length of the air gap between two frequency selective surfaces, using an optimization algorithm particle swarm
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Robots are present each time more on several areas of our society, however they are still considered expensive equipments that are restricted to few people. This work con- sists on the development of control techniques and architectures that make possible the construction and programming of low cost robots with low programming and building complexity. One key aspect of the proposed architecture is the use of audio interfaces to control actuators and read sensors, thus allowing the usage of any device that can produce sounds as a control unit of a robot. The work also includes the development of web ba- sed programming environments that allow the usage of computers or mobile phones as control units of the robot, which can be remotely programmed and controlled. The work also includes possible applications of such low cost robotic platform, including mainly its educational usage, which was experimentally validated by teachers and students of seve- ral graduation courses. We also present an analysis of data obtained from interviews done with the students before and after the use of our platform, which confirms its acceptance as a teaching support tool
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This work proposes a method to determine the depth of objects in a scene using a combination between stereo vision and self-calibration techniques. Determining the rel- ative distance between visualized objects and a robot, with a stereo head, it is possible to navigate in unknown environments. Stereo vision techniques supply a depth measure by the combination of two or more images from the same scene. To achieve a depth estimates of the in scene objects a reconstruction of this scene geometry is necessary. For such reconstruction the relationship between the three-dimensional world coordi- nates and the two-dimensional images coordinates is necessary. Through the achievement of the cameras intrinsic parameters it is possible to make this coordinates systems relationship. These parameters can be gotten through geometric camera calibration, which, generally is made by a correlation between image characteristics of a calibration pattern with know dimensions. The cameras self-calibration allows the achievement of their intrinsic parameters without using a known calibration pattern, being possible their calculation and alteration during the displacement of the robot in an unknown environment. In this work a self-calibration method based in the three-dimensional polar coordinates to represent image features is presented. This representation is determined by the relationship between images features and horizontal and vertical opening cameras angles. Using the polar coordinates it is possible to geometrically reconstruct the scene. Through the proposed techniques combination it is possible to calculate a scene objects depth estimate, allowing the robot navigation in an unknown environment