994 resultados para 148-896A
Resumo:
Implementation of EHEA, among others, motivates a transforming process in universities and promotes changes in the professor’s tasks. This events, promote changes to which the university professor has to adapt, meaning this to acquire and to develop new competencies to respond correctly to new professional tasks that are demanded. To design training plans in accordance to the new training needs, and to establish referents in accreditation, selection and promotion protocols appear to be necessary to define the new competences profile professors have to face in order to develop their teaching, research and management tasks suitably, and according to their professional settings and professional development stage. A qualitative research was developed to define the emerging competence profile. Quantitative and qualitative methods were mixed as well as different tools (questionnaires, interviews and focus groups) and sources (faculty, experts and students). This article only shows the results obtained from professors (expert and novice) in the 4 research competencies analyzed (design, development and assessment of projects; organization and management of scientific events; development of scientific material; communication and dissemination of scientific knowledges) and the most significant dates of the 30 competency units that compose them. Results show significant differences of self-perception of current competency domain level between novice faculty and expert faculty. These results help us to establish the priority training areas to the faculty according to their professional development stage.
Resumo:
Freestanding polyparaphenylene films were obtained on polymerization of benzene at potential of 1.2 V versus Al wire on substrates like platinum/transparent conducting glass as an anode. The electrolyte used was chloroaluminate room-temperature melt, which was prepared by intimate mixing of a 1:2 ratio of cetyl pyridinium chloride and anhydrous aluminum chloride to yield a viscous liquid. This liquid was miscible in all proportions with benzene and other aromatic hydrocarbons in all proportions at room temperature. The polyparaphenylene films deposited on platinum anode exhibited a prominent cyclic voltammetric peak at 0.7 V versus Al wire as reference electrode in chloroaluminate medium. The impedance spectra gave low charge transfer resistance. The diffused reflectance electronic spectra of the film gave the peaks at 386 nm and 886 nm. The PPP films showed electronic conductivity around 3–4 × 104 S/cm by four probe method under nitrogen atmosphere. The polymer was also characterized by IR spectra, thermal studies, and SEM studies.
Resumo:
A system for the identification of power quality violations is proposed. It is a two-stage system that employs the potentials of the wavelet transform and the adaptive neurofuzzy networks. For the first stage, the wavelet multiresolution signal analysis is exploited to denoise and then decompose the monitored signals of the power quality events to extract its detailed information. A new optimal feature-vector is suggested and adopted in learning the neurofuzzy classifier. Thus, the amount of needed training data is extensively reduced. A modified organisation map of the neurofuzzy classifier has significantly improved the diagnosis efficiency. Simulation results confirm the aptness and the capability of the proposed system in power quality violations detection and automatic diagnosis
Resumo:
The performance of a very low loss frequency selective surface (FSS) comprising two air spaced planar arrays of linear slot elements is reported. The beamsplitter generates a low loss passband response with a very sharp transmission roll-off with frequency. Simulated and measured results in the 30 GHz and 300 GHz wavebands are used to quantify the performance improvement compared to a conventional multilayer dielectrically backed conducting ring FSS. The paper also discusses the effect of the array dimensions on the passband width and filter roll-off rate.
Resumo:
A conventional local model (LM) network consists of a set of affine local models blended together using appropriate weighting functions. Such networks have poor interpretability since the dynamics of the blended network are only weakly related to the underlying local models. In contrast, velocity-based LM networks employ strictly linear local models to provide a transparent framework for nonlinear modelling in which the global dynamics are a simple linear combination of the local model dynamics. A novel approach for constructing continuous-time velocity-based networks from plant data is presented. Key issues including continuous-time parameter estimation, correct realisation of the velocity-based local models and avoidance of the input derivative are all addressed. Application results are reported for the highly nonlinear simulated continuous stirred tank reactor process.