5 resultados para Career development--Computer programs.

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Power generation from alternative sources is at present the subject of numerous research and development in science and industry. Wind energy stands out in this scenario as one of the most prominent alternative in the generation of electricity, by its numerous advantages. In research works, computer reproduction and experimental behavior of a wind turbine are very suitable tools for the development and study of new technologies and the use of wind potential of a given region. These tools generally are desired to include simulation of mechanical and electrical parameters that directly affect the energy conversion. This work presents the energy conversion process in wind systems for power generation, in order to develop a tool for wind turbine emulation testing experimental, using LabVIEW® software. The purpose of this tool is to emulate the torque developed in an axis wind turbine. The physical setup consists of a three phase induction motor and a permanent magnet synchronous generator, which are evaluated under different wind speed conditions. This tool has the objective to be flexible to other laboratory arrangements, and can be used in other wind power generation structures in real time. A modeling of the wind power system is presented, from the turbine to the electrical generator. A simulation tool is developed using Matlab/Simulink® with the purpose to pre-validate the experiment setup. Finally, the design is implemented in a laboratory setup.

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Abstract – Background – The software effort estimation research area aims to improve the accuracy of this estimation in software projects and activities. Aims – This study describes the development and usage of a web application tocollect data generated from the Planning Poker estimation process and the analysis of the collected data to investigate the impact of revising previous estimates when conducting similar estimates in a Planning Poker context. Method – Software activities were estimated by Universidade Tecnológica Federal do Paraná (UTFPR) computer students, using Planning Poker, with and without revising previous similar activities, storing data regarding the decision-making process. And the collected data was used to investigate the impact that revising similar executed activities have in the software effort estimates' accuracy.Obtained Results – The UTFPR computer students were divided into 14 groups. Eight of them showed accuracy increase in more than half of their estimates. Three of them had almost the same accuracy in more than half of their estimates. And only three of them had loss of accuracy in more than half of their estimates. Conclusion – Reviewing the similar executed software activities, when using Planning Poker, led to more accurate software estimates in most cases, and, because of that, can improve the software development process.

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This article is the result of the implementation of a program of professional guidance group, based on behavioral analytic principles - psychological theory that addresses human behavior in its interaction with the environment. The program was developed with the objective to assist participants in their career choice at a time of life when such behavior is required in adolescents that are not always repertoire to make such a choice. Participated in the intervention twenty-four adolescents of both sexes, aged 16 and 18, students from middle-level technical course in surveying the Federal Technological University of Paraná - Campus Pato Branco. The results were satisfactory, and at the end of the intervention participants reported greater clarity about career choice that they would from then.

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The intensive character in knowledge of software production and its rising demand suggest the need to establish mechanisms to properly manage the knowledge involved in order to meet the requirements of deadline, costs and quality. The knowledge capitalization is a process that involves from identification to evaluation of the knowledge produced and used. Specifically, for software development, capitalization enables easier access, minimize the loss of knowledge, reducing the learning curve, avoid repeating errors and rework. Thus, this thesis presents the know-Cap, a method developed to organize and guide the capitalization of knowledge in software development. The Know-Cap facilitates the location, preservation, value addition and updating of knowledge, in order to use it in the execution of new tasks. The method was proposed from a set of methodological procedures: literature review, systematic review and analysis of related work. The feasibility and appropriateness of Know-Cap were analyzed from an application study, conducted in a real case, and an analytical study of software development companies. The results obtained indicate the Know- Cap supports the capitalization of knowledge in software development.

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One of the challenges to biomedical engineers proposed by researchers in neuroscience is brain machine interaction. The nervous system communicates by interpreting electrochemical signals, and implantable circuits make decisions in order to interact with the biological environment. It is well known that Parkinson’s disease is related to a deficit of dopamine (DA). Different methods has been employed to control dopamine concentration like magnetic or electrical stimulators or drugs. In this work was automatically controlled the neurotransmitter concentration since this is not currently employed. To do that, four systems were designed and developed: deep brain stimulation (DBS), transmagnetic stimulation (TMS), Infusion Pump Control (IPC) for drug delivery, and fast scan cyclic voltammetry (FSCV) (sensing circuits which detect varying concentrations of neurotransmitters like dopamine caused by these stimulations). Some softwares also were developed for data display and analysis in synchronously with current events in the experiments. This allowed the use of infusion pumps and their flexibility is such that DBS or TMS can be used in single mode and other stimulation techniques and combinations like lights, sounds, etc. The developed system allows to control automatically the concentration of DA. The resolution of the system is around 0.4 µmol/L with time correction of concentration adjustable between 1 and 90 seconds. The system allows controlling DA concentrations between 1 and 10 µmol/L, with an error about +/- 0.8 µmol/L. Although designed to control DA concentration, the system can be used to control, the concentration of other substances. It is proposed to continue the closed loop development with FSCV and DBS (or TMS, or infusion) using parkinsonian animals models.